Optimizing scheduled charging of battery enabled devices based on a predicted battery consumption factor for an area

ABSTRACT

A power service receives, from one or more battery enabled mobile devices, battery usage information for one or more locations within an area. A power service identifies, from the battery usage information, one or more battery usage impact factors that are location based that consume additional battery power for the area. A power service predicts, based on the one or more battery usage impact factors for the area a predicted battery consumption factor in the area. A power service updates one or more user schedules of users with one or more events scheduled in the area with an alert identifying the predicted battery consumption factor in the area.

BACKGROUND 1. Technical Field

One or more embodiments of the invention relate generally to dataprocessing and particularly to optimizing scheduled charging of batteryenabled devices based on a predicted battery consumption factor for anarea.

2. Description of the Related Art

The number of people who carry and use portable computing devices on adaily basis continues to increase. Portable computing devices that areenabled to receive power from a rechargeable battery allow users to usethe portable computing devices from locations chosen by the user,independent of whether the user has access a power outlet. Rechargeablebatteries have a limited amount of power available per charge, requiringthe user to eventually recharge the batteries to continue using theportable computing device in locations away from power outlets.

BRIEF SUMMARY

In one embodiment, a method is directed to receiving, by a computersystem, from one or more battery enabled mobile devices, battery usageinformation for one or more locations within an area. The method isdirected to identifying, by the computer system, from the battery usageinformation, one or more battery usage impact factors that are locationbased that consume additional battery power for the area. The method isdirected to predicting, by the computer system, based on the one or morebattery usage impact factors for the area a predicted batteryconsumption factor in the area. The method is directed to filtering, bythe computer system, one or more user schedules to identify a selectionof user with one or more events scheduled in the area currently or at afuture time. The method is directed to analyzing, by the computersystem, for each separate schedule of each of the selection of users,the one or more events scheduled in the area and the predicted batteryconsumption factor in the area to dynamically adjust one or morerecommended charging times and charging locations for charging at leastone separate battery enabled mobile device of each of the selection ofusers. The method is directed to outputting, by the computer system, foreach of the selection of users, the adjusted one or more recommendedcharging times and charging locations to a separate scheduling service,the scheduling service for updating each separate schedule of each ofthe selection of users with the at least one event for the one or morerecommended charging times and charging locations, each separateschedule output by the scheduling service to the at least one separatebattery enabled mobile device via a network environment.

In another embodiment, a computer system comprises one or moreprocessors, one or more computer-readable memories, one or morecomputer-readable storage devices, and program instructions, stored onat least one of the one or more storage devices for execution by atleast one of the one or more processors via at least one of the one ormore memories. The stored program instructions comprise programinstructions to receive, from one or more battery enabled mobiledevices, battery usage information for one or more locations within anarea. The stored program instructions comprise program instructions toidentify, from the battery usage information, one or more battery usageimpact factors that are location based that consume additional batterypower for the area. The stored program instructions comprise programinstructions to predict, based on the one or more battery usage impactfactors for the area a predicted battery consumption factor in the area.The stored program instructions comprise program instructions to filterone or more user schedules to identify a selection of user with one ormore events scheduled in the area currently or at a future time. Thestored program instructions comprise program instructions to analyze,for each separate schedule of each of the selection of users, the one ormore events scheduled in the area and the predicted battery consumptionfactor in the area to dynamically adjust one or more recommendedcharging times and charging locations for charging at least one separatebattery enabled mobile device of each of the selection of users. Thestored program instructions comprise program instructions to output, foreach of the selection of users, the adjusted one or more recommendedcharging times and charging locations to a separate scheduling service,the scheduling service for updating each separate schedule of each ofthe selection of users with the at least one event for the one or morerecommended charging times and charging locations, each separateschedule output by the scheduling service to the at least one separatebattery enabled mobile device via a network environment.

In another embodiment, a computer program product comprises a computerreadable storage medium having program instructions embodied therewith,wherein the computer readable storage medium is not a transitory signalper se. The program instructions executable by a computer to cause thecomputer to receive, by the computer, from one or more battery enabledmobile devices, battery usage information for one or more locationswithin an area. The program instructions executable by a computer tocause the computer to identify, by the computer, from the battery usageinformation, one or more battery usage impact factors that are locationbased that consume additional battery power for the area. The programinstructions executable by a computer to cause the computer to predict,by the computer, based on the one or more battery usage impact factorsfor the area a predicted battery consumption factor in the area. Theprogram instructions executable by a computer to cause the computer tofilter, by the computer, one or more user schedules to identify aselection of user with one or more events scheduled in the areacurrently or at a future time. The program instructions executable by acomputer to cause the computer to analyze, by the computer, for eachseparate schedule of each of the selection of users, the one or moreevents scheduled in the area and the predicted battery consumptionfactor in the area to dynamically adjust one or more recommendedcharging times and charging locations for charging at least one separatebattery enabled mobile device of each of the selection of users. Theprogram instructions executable by a computer to cause the computer tooutput, by the computer, for each of the selection of users the adjustedone or more recommended charging times and charging locations to aseparate scheduling service, the scheduling service for updating eachseparate schedule of each of the selection of users with the at leastone event for the one or more recommended charging times and charginglocations, each separate schedule output by the scheduling service tothe at least one separate battery enabled mobile device via a networkenvironment.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

The novel features believed characteristic of one or more embodiments ofthe invention are set forth in the appended claims. The one or moreembodiments of the invention itself however, will best be understood byreference to the following detailed description of an illustrativeembodiment when read in conjunction with the accompanying drawings,wherein:

FIG. 1 illustrates one example of block diagram of a power service forselecting and scheduling optimized times and locations for chargingbattery enabled devices based on power usage impact data received frommultiple sources;

FIG. 2 illustrates one example of a block diagram of a power service foroptimizing a schedule of scheduled times and locations to charge batteryenabled devices based on power usage impact data received from multiplesources within a user environment;

FIG. 3 illustrates one example of a block diagram of a power service foroptimizing a schedule of scheduled times and locations to charge batteryenabled devices based on individual usage data received from multiplebattery enabled devices and a schedule of predicted usage of themultiple battery enabled devices;

FIG. 4 illustrates one example of a block diagram of one example of apower service for optimizing a schedule of scheduled times and locationsto charge battery enabled devices based on individual locations receivedfrom multiple battery enabled devices, a schedule of predicted usage ofthe multiple battery enabled devices, and location based battery usageimpact factors;

FIG. 5 illustrates one example of a block diagram of a power service forpredicting battery consumption factors for an area based on batteryusage information provided by multiple battery enabled device in thearea and updating user schedules with an alert identifying predictedbattery consumption factors above a threshold for an area;

FIG. 6 illustrates one example of a block diagram of specifying charginglocations by user based on battery charging information reported bybattery enabled devices to a power service;

FIG. 7 illustrates one example of a block diagram of a power service forprioritizing recharging of multiple battery enabled devices identifiedwithin a group;

FIG. 8 illustrates one example of a block diagram of a computer systemin which one embodiment of the invention may be implemented;

FIG. 9 illustrates one example of a high level logic flowchart of aprocess and computer program for selecting and scheduling optimizedtimes and locations for charging battery enabled devices based on powerusage impact data received from multiple sources;

FIG. 10 illustrates one example of a high level logic flowchart of aprocess and computer program for updating a user schedule with one ormore events for the one or more optimum times and locations recommendedby a power service for charging one or more battery enabled devices;

FIG. 11 illustrates one example of a high level logic flowchart of aprocess and computer program for monitoring individual monitored by apower service for charging one or more battery enabled devices;

FIG. 12 illustrates one example of a high level logic flowchart of aprocess and computer program for updating charging events to reflectactual usage of a battery enabled device during an event period; and

FIG. 13 illustrates one example of a high level logic flowchart of aprocess and computer program for predicting battery consumption factorsfor an area based on battery usage information provided by multiplebattery enabled device in the area and updating user schedules with analert identifying predicted battery consumption factors above athreshold for an area.

DETAILED DESCRIPTION

In the following description, for the purposes of explanation, numerousspecific details are set forth in order to provide a thoroughunderstanding of the present invention. It will be apparent, however, toone skilled in the art that the present invention may be practicedwithout these specific details. In other instances, well-knownstructures and devices are shown in block diagram form in order to avoidunnecessarily obscuring the present invention.

In addition, in the following description, for purposes of explanation,numerous systems are described. It is important to note, and it will beapparent to one skilled in the art, that the present invention mayexecute in a variety of systems, including a variety of computer systemsand electronic devices operating any number of different types ofoperating systems.

FIG. 1 illustrates a block diagram of one example of a power service forselecting and scheduling optimized times and locations for chargingbattery enabled devices based on power usage impact data received frommultiple sources.

In one example, a user may have access to one or more computing devicesthat are coupled with a battery as a power source and are enabled to runoff the power of the battery, for the life of the battery per charge,also referred to as a battery enabled device. Many battery enableddevices include a battery that is a rechargeable battery, which isrecharged by applying electric current to the rechargeable battery. Abattery enabled device may also include a primary battery that isdiscarded after a single use, and may be replaced. In one example, abattery enabled device may also run directly off the power from a poweroutlet, when plugged in, or the battery enabled device may run off thepower from a rechargeable battery, as the rechargeable battery isrecharging off the power from a power outlet.

Battery enabled devices may include the additional flexibility of beingportable, since the battery enabled device may draw power from a batterysource coupled to the battery enabled device, and therefore batteryenabled devices may be used for a period of time without being pluggedinto a power outlet. In one example, a power outlet may refer to one ormore types of power sources that provide electronic current and areexternal to a battery coupled within a battery enabled device including,but not limited to, AC power plugs and sockets, wired charging stations,inductive or wireless charging stations, and battery rechargers, such asa Universal Serial Bus (USB)-based charger, a power bank, or a solarcharger.

Different types of battery enabled devices may have batteries withdifferent capacities and different discharge rates. In one example, acapacity of a battery may refer to the amount of electric charge thebattery is enabled to deliver at a particular voltage and a dischargerate may refer to the rate at which a battery discharges the electriccharge. A battery with a smaller cell may have less capacity than abattery with a larger cell, however, the smaller cell may weight lessthan the larger cell. In one example, battery enabled devices that areportable may have components that are minimized in size, to reduce theweight of the battery enabled device, and increase the portability ofthe battery enabled device, which may result in a battery with lowercapacity. As portability increases, users may be more likely to takebattery enabled devices into environments where, as the user is working,the environment promotes creativity or productivity or as the user isworking, the user is riding in a vehicle or other for of transportation.In addition, as portability increases, with decreased weights, a usermay select to carry multiple battery enabled devices throughout the day,planning to use some devices throughout the duration of the day andother devices at specific times throughout the day.

Some environments, while promoting creativity or productivity, orproviding a user with transportation, may not have a power outletavailable for recharging a battery enabled device or for powering thebattery enabled device. In addition, even when the user is in anenvironment with a power outlet, the user may not have time to stop andcharge the battery enabled device at the power outlet, and fully chargethe battery, before needing to move on to another area without a poweroutlet. Thus, as users integrate more portable, battery enabled devicesinto their daily lives, but may also use the devices in locations thatdo not have power outlets, the user may be faced with a new daily issueof locating power outlets for recharging battery enabled devices andidentifying time in the user's schedule for recharging battery enableddevices. While the rechargeable battery within a battery enabled devicecould be increased in size to provide additional capacity, and thereforeprovide longer battery life, larger capacity batteries may also addweight, and users may prefer the flexibility of a lighter batteryenabled device over more capacity requiring a larger, heavier battery.

While each battery may have a capacity, or battery life, and anestimated amount of time required to recharge, these estimates may beinitially estimated for a selection of ideal operating conditions. Inpractice, battery enabled devices may not function under ideal operatingconditions and in an ideal environment. It may be difficult for a userto predict when a battery enabled device will be discharged, and need tobe recharged, during the day. A user may start a day with a batteryenabled device that is expected to discharge over 6 hours, under idealoperating conditions, but based on the actual operating conditions, thebattery may be fully discharged within 2 hours. In one example, thecapacity of a rechargeable battery device may decrease and the rate ofdischarge may increase if the battery is operated in environments withhigh temperatures or extremely low temperatures, which may impact theelectrode material contained in a battery cell, diminishing the capacityof the battery and effectively increasing the discharge rate. Inaddition, a rechargeable battery may have a limited lifetime, whereafter an estimated number of recharges and discharges, the estimatedcapacity of the battery starts to decline with each recharge, such thatover a period of time of daily use of a battery enabled device, such asa year, even when the battery is fully recharged and operating underideal conditions, the actual capacity of the battery is reduced from theinitial, starting capacity and the discharge rate increased.

In one example, under ideal operating conditions, the only applicationsthat may run on a battery enabled device are applications that aredesigned according to guidance and rules that makes the application runin a more energy efficient manner, allowing the actual discharge rate toreflect the expected discharge rate. Not every vendor who designs anapplication, however, may program the application according to theguidance and rules required to run in an energy efficient manner. As aresult, applications that are not designed according to energyefficiency guidance and rules may use more power than an applicationshould use under ideal conditions and cause a battery to discharge morequickly than expected. While applications that are designed for energyefficiency may provide a predictable discharge under ideal operatingconditions, and minimize power use, users may need or want theflexibility to use applications from vendors who do not design forapplication energy efficiency, which may cause a battery to drain morequickly and for the actual battery time available to decrease morequickly than estimated. In addition, even applications that are designedaccording to energy efficiency guidance may use additional powerdepending on the operating environment.

In one example, to compensate for actual operating conditions that arenot ideal, the operating system of a battery enabled device may providea low power feature, to manage the battery operating conditions, wherein low power mode, the operating system may automatically shut off orstop running selected parts to reduce power consumption, such as dimmingdisplays, shutting off a wireless network feature, turning off a harddrive, and shutting down non-critical applications. While providingpower saving features through a low power mode may control a batteryenabled device to operate closer to ideal operating conditions, orprolong a remaining portion of battery life, shutting down features ofthe battery enabled device may also negatively impact the creativity orproductivity of the user working with the battery enabled device.

While an individual battery enabled device may include batterymonitoring applications and operating system features that monitoractual use of a battery and adjust an amount of predicted battery lifeoutput in a user display, if the user needs battery enabled devices tobe available at certain times and locations throughout a day, the usermay spend a significant amount of time watching the changes to thepredicted battery life and also identifying power outlet locationsavailable for charging devices based on the real-time operatingconditions of each battery enabled device. Given that actual batterylife may vary from day to day, depending on factors that impact capacityand discharge rates, if a user will not have time or access to stop andcharge a battery enabled device at a power outlet at a fixed location,the user may carry along a portable power outlet, such as a batteryrecharger, to provide a more reliable power source in the field. Batteryrechargers, however, add additional weight to what a user is carrying,require additional space, add an additional cost to purchase the batteryrecharger, and only hold a limited amount of electric current forrecharging battery enabled devices. There are environments where theadditional weight and space of a battery recharger is burdensome on theuser. In addition, some battery rechargers, such as a USB-basedrecharger, may need to be recharged to be used as a power source, whichrequires the user to find time for recharging both a battery rechargerand a battery enabled device. Further, some battery rechargers, such asa solar charger, may only function in areas where the solar cell cancharge.

In one example, to automate the selection and scheduling of optimumtimes and locations for recharging battery enabled devices for a user, apower service 110 may include a source monitor 130 that monitors forpower usage impact data 120 for the one or more battery enabled devicesaccessible to a particular user or group of users, where power usageimpact data 120 may reflect the actual operating conditions of multiplebattery enabled devices and conditions that may impact the futureoperating conditions of multiple battery enabled devices. Power usageimpact data 120 may include data impacting the availability, usage,capacity, and performance of each battery within each battery enableddevice. Power usage impact data 120 enables power service 110 to keeptrack of power consumption and battery levels for each battery enableddevice available to a particular user. In one example, source monitor130 may store power usage impact data 120 in a device status database132 according to one or more identifiers, such as, but not limited to, auser identifier, a device identifier, and a device type identifier.

In one example, power usage impact data 120 may include data pushed orpulled from multiple sources, such as a source 122, a source 124, and asource 126. In one example, each of source 122, source 124, and source126 may represent one or more types of sources including, but notlimited to, a user's one or more battery enabled devices, manufacturerdevice specification sources, weather services, mapping services, GPS orlocation detection services, Wi-Fi service providers, cellular serviceproviders, data from a user interface, data from other users' batteryenabled devices, data collected by schedule service 112 into a databaseof historical scheduling information, and other data sources. Forexample, source 122 may represent a battery enabled device that providesa location of the battery enabled device, source 124 may represent acharging locations database that provides charging location informationby location, and source 126 may include a temperature service, providingthe temperature conditions at the location, where the air temperature atthe location of the battery enabled device may impact the performance ofthe battery.

In one example, source monitor 130 may identify source 122, source 124,and source 126 based on one or more sources specified in userspecifications 140 for a particular user. In one example, source monitor130 may push power usage data requests to or select sources to receivepower usage impact data from the sources specified in userspecifications 140. For example, in user specifications 140, a user mayspecify one or more battery enabled devices as sources and may specifyone or more services as sources. Each of the battery enabled devices andother sources may provide a client application that monitors andanalyzes data and communicates with power service 110.

In addition, power service 110 may also access a user schedule 116 froma schedule service 112 and store user schedule 116 in device statusdatabase 132. In one example, user schedule 116 may include one or moreevents scheduled for a user. In one example, each event in userscheduler 116 may include one or more types of general data, including,but not limited to, an event label and a time. In addition, each eventin user scheduler 116 may include additional types of data including,but not limited to, a priority of the event, a location of the event,and invitees to the event. In addition, user schedule 116 may includeinformation that is embedded in a user's schedule, such as, but notlimited to, weather forecasts, holidays, game dates and times, travelitineraries detected from electronic mail with travel confirmation,events from third party online event scheduling services, and otherevent information gathered from another calendar provider, data serviceprovider, electronic mail application, or event service provider.

Source monitor 130 may select which schedule services to push schedulerequests and battery predictions to or may select which scheduleservices to receive user schedules from and send battery predicts to.For example, in user specifications 140, a user may specify one or morescheduling services for power service 110 to connect with to update userschedule with charging recs 118. In another example, a user may specifypreferences applied by schedule service 112, for schedule service 112 tointeract with power service 110. In one example, schedule service 112may represent a server that acts as a hub for a scheduling service forone or more users, which interacts with client application running onone or more battery enabled devices. In one example, a user may receiveuser schedule 116 at a user interface of a client scheduling applicationon a battery enabled device and may adjust user schedule 116 within theuser interface, where changes to user schedule 116 within the userinterface are pushed back to scheduling service 112.

In addition, one or more events in user schedule 116 may includeinformation that expressly indicates periods of time when the user mayneed to use one or more battery enabled devices, indicates whether therewill be a power outlet accessible during the periods of time or whetherbattery power will be required, indicates the expected locations of theuser throughout a day, and indicates other scheduling informationregarding the user's anticipated use of the one or more battery enableddevices over a span of time. In addition, one or more events in userschedule 116 may include information that provides context from which acalculation service 134 of power service 110, based on user schedule 116and power usage impact data 120, may predict the locations of the userover a span of time, predict when a user will likely use the one or morebattery enabled devices, and predict when a user will have windows oftime available to recharge battery enabled devices at a power outlet.For example, user schedule 116 may include an event indicating when auser will be traveling and the type of transportation, which may providecontext from which calculation service 134 can predict whether the typeof travel will place the user at risk for not being able to chargebattery enabled devices during the event. In another example, userschedule 116 may include events indicated as meetings, which may providecontext from which calculation service 134 can predict which batteryenabled devices the user will require during the meetings and the typeof uses of the battery enabled devices. In addition, over time, devicestatus database 132 may track how a user normally uses each batteryenabled device and calculation service 134 may predict, within userschedule 116 for a current day, how a user will use each battery enableddevice for normal operation during the current day, based on how theuser historically uses each battery enabled device on a normal day astracked in device status database 132.

In one example, calculation service 134 of power service 110 may analyzepower usage impact data 120 collected over one or more time periods indevice status database 132, including user schedule 116, to predictoptimum times and locations to recharge each battery enabled device tomaintain charge in battery enabled devices required by the user when auser may not have access to a power outlet and to minimize disruptionfor recharging battery enabled devices. Calculation service 134 maypredict optimum times and locations based on one or more criteriaincluding, but not limited to, minimizing time to recharge, optimizingbattery life, minimizing a number of trips to recharge battery enableddevices, prioritization of when and where a user needs to use batteryenabled devices, optimizing use of network availability, optimizing useof charging availability, optimizing use of battery enabled devicesbased on historical usage, and preventing drained battery conditions.Calculation service 134 may identify and provide recommended rechargetimes and locations for each battery enabled device or for a group ofbattery enabled devices. A recommendation service 138 of power service110 may output the recommended recharging times and locations toschedule service 112 as battery predictions 114. In particular,recommendation service 138 may specify the format of battery predictions114 and select schedule service 112 based on user selections of formatpreferences and schedule service preferences in user specifications 140.

In one example, schedule service 112 may receive battery predictions114, update user schedule 116 with the recommended recharging times andlocations in battery predictions 114 and output the updated schedule asuser schedule with charging recs 118. In particular, in one example,schedule service 112 may receive battery predictions 114 with one ormore recommended recharging times and locations each specified as aseparate event within a calendar output that may be embedded into oroverlaid into user schedule 116. In another example, schedule service112 may receive battery predictions 114 with a compilation of each ofthe one or more recommended recharging times and locations specified asa separate event. In additional or alternate examples, batterypredictions 114 may be output in additional or alternate formats.

In particular, in one example, by providing a user with user schedulewith charging recs 118, schedule service 112 may integrate batterypredictions 114 with an output of user schedule 116 that overlaysbattery predictions 114 into the scheduling interface already accessedby a user, such that the user may focus on creativity and productivitywhen using a battery enabled device and rely on user schedule withcharging recs 118 to prompt the user with times and locations torecharge battery enabled devices to optimize use of the battery enableddevices, such that the user may have battery enabled devices powered andavailable during times when the user needs to use the devices.

In particular, in one example, power service 110 may analyze power usageimpact data 120 and user schedule 116 to identify the actual, currentoperating conditions of multiple battery enabled devices, receivepredicted usage for the multiple battery enabled devices based on userschedule 116, analyze the current operating conditions and predictedusage to identify one or more recommended recharging times and locationsfor each of the multiple battery enabled devices, and provide therecommended recharging times and locations as battery predictions 114.User schedule with charging recs 118, as updated by battery predictions114, may provide the user with scheduled events of recommendedrecharging times and locations based on current operating conditions andpredicted usage of the battery enabled devices, such that the user mayanticipate and plan when and where to recharge the battery of a batteryenabled device based on real-time current operating conditions and basedon the predicted need for use of the battery enabled devices. Powerservice 110 may continue to monitor current operating conditions for oneor more battery enabled devices, in real-time, from power usage impactdata 120 and dynamically adjust battery predictions 114, to update userschedule with charging recs 118, if the current usage increases ordecreases from the predicted usage or the user's scheduled access to apower outlet changes, and a window for recharging the device isrecommended to be sooner or later than initially scheduled.

In particular, in one example, calculation service 134 may analyze powerusage impact data 120 and user schedule 116 to determine one or moreoptimum times including, but not limited to, the time each batteryenabled device is likely to run out of power, the optimum time tocoordinate recharging of different devices to minimize the number ofpower outlets that need to be located during a day and the amount oftime spent recharging at the power outlets, the optimum time to rechargeeach battery enabled device based on user activity, the optimum time torecharge each battery enabled device the fastest, and the optimum timeto recharge based on scheduled events.

In one example, in selecting optimum times and locations, calculationservice 134 may identify that a user is in the field taking measurementswith a specific battery enabled device, but the user has multiplemeetings to attend during the day during which the user will need to usethe battery enabled device, therefore calculation service 134 maypredict when the battery will need to be recharged, identify any breaksbetween meetings, which may allow for even short periods of recharging,and recommend that the user recharge the battery enabled device duringthe breaks. If the user does not have any breaks, calculation service134 may identify the next best times and locations for the user torecharge the battery enabled device and may recommend that the usercarry a battery recharger, that is charged, to recharge the batteryenabled device, to ensure that the user has the battery enabled deviceavailable for use during all meetings planned for the day.

In another example, in selecting optimum times and locations,calculation service 134 may analyze the status of four battery enableddevices that a user carries, where each device battery may have adifferent capacity and may be running at different battery levels, wherecalculation service 134 determine the optimum time and location toconcurrently charge all four battery enabled devices to fully charge allfour devices at one time, to minimize the number of times that a usermay need to stop during the day to charge the four devices. Calculationservice 134 may also predict or detect that additional battery chargingaccessories may be required for the user to recharge all four devices atone time at a particular power outlet. Recommendation service 138 mayinclude the one or more optimum times in battery predictions 114, alongwith predicted or detected battery charging accessories requirements.

In one example, power usage impact data 120 may also include other userschedules, from one or more sources, or power service 110 may receiveother user schedules from schedule service 112. User specifications 140may specify a group of users where battery enabled devices or schedulingof use of battery enabled devices may be shared across the group ofusers. For example, calculation service 134 may detect that within agroup of users, the battery enabled device carried by one particularuser in the group cannot be recharged and will not be available for useduring a particular time of day or a particular scheduled task, but thatanother battery enabled device carried by another user in the group isavailable for use during the particular time of day or the particularscheduled task and update battery predictions 114 for the particularuser to indicate that the other user's battery enabled device should beused, and may also recommend rescheduling the particular task to beperformed by the other user, if only a single user needs to be assignedper task. In another example, calculation service 134 may detect thebattery health predictions of multiple battery enabled devices in agroup of users and prioritize which battery enabled devices should beused in the group and which battery enabled devices should be chargedfirst in the group, if charging options are limited.

In particular, in one example, calculation service 134 may analyze powerusage impact data 120 and user schedule 116 to receive the predictedusage and locations of usage for multiple battery enabled devices,access one or more battery usage impact factors for the locations thatimpact both battery usage and performance, such as temperature, accessto wireless networks, cellular network strength and bandwidth, andaccessibility to charging areas, and analyze the predicted usage andlocations of usage and the one or more battery usage impact factors topredict recommended recharging times for the multiple battery enableddevices. User schedule with charging recs 118, as updated by batterypredictions 114, may provide the user with scheduled events ofrecommended recharging times and locations based on predicted usagelocations and factors that may impact the operating conditions andperformance at the predicted locations, such that the user mayanticipate and plan when and where to recharge battery enabled batteriesbased on predicted schedule locations and factors that may impact theavailability and performance of the battery at the locations.

Source monitor 130 may continue to monitor the predicted usageinformation and locations, to determine whether the user changes toother locations, and may continue to receive updated battery usageimpact factors for locations, such as changes to the temperature at alocation. Calculation service 134 may dynamically adjust recommendedtimes and locations for recharging battery enabled devices based onreal-time changes to predicted conditions. Recommendation service 138may dynamically update battery predictions 114 with adjustedrecommendations, such that schedule service 112 may update user schedulewith charging recs 118, if the changes to locations or battery usageimpact factors shifts the window for charging the device sooner or laterthan initially scheduled. In one example, as recommendation service 118updates battery predictions 114, recommendation service 138 may pushupdates to battery predictions 114 directly to a battery enabled deviceto be output as alerts to the user at the battery enabled device. Inanother example, as recommendation service 118 updates batterypredictions 114, schedule service 112 may update user scheduling withcharging recs 118 according to updated battery predictions and providealerts or graphical indictors to the user at the battery enabled deviceindicating changes to recharging events within user scheduling withcharging recs 118.

In one example, while in the example illustrated power service 110 mayinteract with one or more scheduling services, such as schedule service112, in additional or alternate examples, power service 110 may beintegrated within schedule service 112. In addition, in additional oralternate examples, schedule service 112 may interact with differentpower services, where each registered user of schedule service 112 mayselect which power service to subscribe to.

FIG. 2 illustrates a block diagram of one example a power service foroptimizing a schedule of scheduled times and locations to charge batteryenabled devices based on power usage impact data received from multiplesources within a user environment.

In one example, a user environment 202 may represent an environment inwhich a user is located, or an environment that a user is predicted tobe located within. User environment 202 may include the one or moreelements available to the user within user environment 202 including,but not limited to, one or more devices, such as a battery enableddevice 220, a battery enabled device 224, a battery enabled device 228,and a computing device 218, one or more user interfaces, such as a userinterface 222, a user interface 226, a user interface 232, and a serviceinterface 240, one or more charging options, such as a battery recharger260 and a fixed power outlet 262, and one or more battery chargingaccessories, such as battery charging accessories 264. In one example,one or more components within user environment 202 may change atdifferent times based on the physical locations of a user and thephysical locations of one or more of the components. User environment202 may include additional or alternate devices, user interfaces, poweroutlets, portable chargers, and charging accessories.

In one example, battery enabled device 220, battery enabled device 224,and battery enabled device 228 may each represent a separate batteryenabled device accessible to the user, each including one or morebatteries that may be recharged and provide the power source for thebattery enabled device for a period of time. Each battery within each ofthe battery enabled devices may have an initial, starting capacity andan estimated battery life, based on ideal operating conditions. Inreality, battery enabled devices may not operate under these idealoperating conditions, therefore the actual battery life, per recharge ofa battery, may vary dependent upon how a user is interacting with abattery enabled device, environmental factors impacting user environment202, and other factors.

In one example, each battery enabled device may support a userinterface, through which a user in user environment 202 may interactwith the battery enabled device, such as by interacting with interfacesof applications running on each battery enabled device. For example,battery enabled device 220 supports user interface 222, battery enableddevice 224 supports user interface 226, and battery enabled device 228supports user interface 232. In additional or alternate embodiments,user environment 202 may include additional or alternate battery enableddevices. The types of applications open within each user interface, thegraphics and network requirements of the applications, and the frequencyat which the user interacts with the applications may impact the amountof power required from a battery for powering the user interface withina time window.

Each of battery enabled device 220, battery enabled device 224, andbattery enabled device 228 may include one or more operating system orapplication services that monitor and analyze battery metrics and deviceuse, illustrated as monitoring service 225, monitoring service 227, andmonitoring service 233, respectively. In one example, the batterymetrics monitored and analyzed may include, but are not limited to, thehealth of the device indicating an estimated battery life, current usageof the device by one or more units such as low, high or idle or byapplication type, historical usage by time or day, week or other timeunit, and a device location. Each of monitoring service 225, monitoringservice 227, and monitoring service 233 may also generate, based on themonitored metrics, a predicted battery life remaining in the batterymetrics.

In one example, power service 110 may receive power usage impact data120 including device data 240 from one or more sources. In one example,each of monitoring service 225, monitoring service 227, and monitoringservice 233 may be registered as sources that report battery metrics topower service 110 as device data 240, including an identifier of thebattery enabled device.

In one example, power service 110 may receive power usage impact data120 including environment data 242 from one or more sources. In oneexample, each of monitoring service 225, monitoring service 227, andmonitoring service 233 may also monitor for one or more environmentalaspects of user environment 202 that impact battery performance withinthe environment and report the one or more environmental aspects topower service 110 as environment data 242. In one example, environmentaldata may include, but is not limited to, location based information,such as temperature, access to a wireless network and speed of thenetwork, access to cellular service and level of available cellularservice, and availability of charging areas. In one example, thetemperature of user environment 202 may reduce the expected battery lifeof batteries used within user environment 202 because batteries aregenerally designed for optimized operation within a range oftemperatures, where the temperature exceeds the range or drops below therange, the battery capacity may be impacted and the battery maydischarge more quickly than when operating within the range oftemperatures. In one example, the access to a wireless network and speedof the wireless network may impact the expected battery life ofbatteries used within user environment 202 because a slower network mayreturn data more slowly and deplete the battery more quickly than whenoperating on a faster network that returns data more quickly. In oneexample, the access to cellular service and level of available cellularservice may reduce the expected battery life of batteries used withinuser environment 202 because if wireless service is not available andcellular service is required for network access, cellular service basedaccess may require more power than wireless service based access and ifthe cellar service level is low or not available, the device may useadditional power attempting to ping cellular towers and find availablecellular service.

In one example, monitoring service 225, monitoring service 227, andmonitoring service 233 may detect environment data about userenvironment 202. In another example, one or more of the monitoringservices, such as monitoring service 233, may access schedule service112, and receive user schedule with charging recs 118. Monitoringservice 233 may detect predicted locations in future user environmentsand interface with one or more services to access predicted weatherconditions, predicted access to Wi-Fi and cellular service, andpredicted access to power outlets within future user environments.Monitoring service 233 may send environment data 242 including currentenvironmental conditions for user environment 202 and predictedenvironmental conditions for future environments based on scheduledevents in user schedule with charging recs 118.

In one example, computing device 218, which is not included in thebattery enabled devices accessible to the user, may represent acomputing device that is present within user environment 202 and mayprovide one or more services that collect environmental data within userenvironment 202, along with a service interface 230 through which a usermay interact with computing device 218. Computing device 218 mayrepresent a source that reports environmental data 242 to power service110. For example, computing device 218 may include, but is not limitedto, a server, a security system device, a network device, a power sourceregistration system, and other systems that a user may interact with orthat may detect a user's presence within user environment 202. Forexample, computing device 218 may include a service interface 230 thatpassively detects information about the temperature of user environment202, the type of network service available within user environment 202,the availability of portable charger 260 and fixed power source 262, orother information about user environment 202 that may impact batteryhealth and availability.

In one example, user environment 202 may include battery recharger 260,which is a portable power outlet the user has carried into userenvironment 202. In one example, battery recharger 260 may include afunction that monitors the amount of power remaining in batteryrecharger 260 and broadcasts or transmits the amount of power remainingthrough a wired or wireless connection. In one example, battery enableddevice 220, battery enabled device 224, battery enabled device 228, orcomputing device 218 may detect a wireless broadcast of the amount ofpower from battery recharger 260 or may detect the presence of batteryrecharger 260 from detecting a wireless broadcast or reading an RFIDaffixed to battery recharger 260. In another example, battery enableddevice 220, battery enabled device 224 or battery enabled device 228 maydetect the amount of power remaining in battery recharger 260 whenbattery recharger 260 is connected to one of the devices, recharging thebattery on the device. In another example, a user may, through userinterface 222, user interface 226, user interface 232, or serviceinterface 230, enter a status of battery recharger 260, indicating theuser is carrying battery recharger 260 and indicating whether batteryrecharger 260 has been fully recharged. In one example, battery enableddevice 220, battery enabled device 224, and battery enabled device 228may pass information monitored about battery recharger 260 to powerservice 110 as environment data 242.

In one example, user environment 202 may include fixed power outlet 262,which is a temporary or permanent power outlet with a fixed locationwithin user environment 202. In one example, fixed power outlet 262 mayinclude an RFID affixed to fixed power outlet 262 that actively orpassively broadcasts location and availability information about fixedpower outlet 262. In one example, battery enabled device 220, batteryenabled device 224, battery enabled device 228 or computing device 218may read the broadcast information about fixed power outlet 262 andidentify that fixed power outlet 262 is present in user environment 202.In another example, a user may, through user interface 222, userinterface 226, user interface 232, or service interface 230, identifythat fixed power outlet 262 is present in user environment 202 andprovide additional information about fixed power outlet 262 such as, butnot limited to, a location, type of power outlet, a number of sockets,and information about any battery charging accessories included at fixedpower outlet 262. In one example, battery enabled device 220, batteryenabled device 224, and battery enabled device 228 may pass informationmonitored about fixed power outlet 262 to power service 110 asenvironment data 242.

In one example, user environment 202 may include battery chargingaccessories 264, which may represent cords, socket adapters, socketsplitters, and other hardware that enable one or more battery enableddevices to connect to battery recharger 260 and fixed power outlet 262within user environment 202. In one example, each battery chargingaccessory may include an RFID affixed to it that actively or passivelybroadcasts location and availability information about battery chargingaccessories 264. In one example, battery enabled device 220, batteryenabled device 224, battery enabled device 228 or computing device 218may read the broadcast information about battery charging accessories264 and identify that battery charging accessories 264 are present inuser environment 202. In another example, a user may, through userinterface 222, user interface 226, user interface 232, or serviceinterface 230, identify that battery charging accessories 264 arepresent in user environment 202 and provide additional information aboutbattery charging accessories 264 such as, but not limited to a cordtype, cord length, type of socket adapter, and number of socketsavailable on a socket splitter. In one example, battery enabled device220, battery enabled device 224, and battery enabled device 228 may passinformation monitored about battery charging accessories 264 to powerservice 110 as environment data 242.

In one example, power service 110 may access power impact usage data 120including charging locations from a charging locations database 246. Inone example, charging locations database 246 may include identifiers forone or more fixed power outlets by location. In one example, a serviceprovider may directly interact with charging locations database 246 toupdate identifiers of fixed power outlets in charging locations database246. In another example, as power service 110 receives environment data242 indicating the presence of fixed power outlet in user environment202, power service 110 may also update charging locations database 246with the location and other specifications provided regarding fixedpower outlet 262. In one example, charging locations database 246 mayinclude locations that are secured, and require that power service 110present a user credential with a particular level of authentication toaccess charging locations from charging locations database 246 for aparticular location.

In one example, power service 110 may access power impact usage data 120including user data 244 from one or more sources. In one example, one ormore of monitoring service 223, monitoring service 227, and monitoringservice 233 may also detect information that is locally detectable abouta user at a particular battery enabled device, which may impact thepresent or future operating conditions of battery enabled devices andmay also impact the operating conditions within a present or future userenvironment and report the information as user data 244. In one example,user data 244 may include indicators of whether user environment 202 isa normal, frequently visited environment or a new, unfamiliarenvironment for a particular user, based on previous locations detectedby monitoring services, previous scheduling info, or indicators withinthe current schedule. User data 244 may specify a risk factor for theenvironment indicative of the need for the user to have reliable accessto powered up battery enabled devices. In addition, a monitoring servicewith access to a user's schedule, such as monitoring service 233, mayevaluate and report in user data 244 aspects of user data that arelocally detectable such as, but not limited to, the relative number ofmeetings scheduled for that day during which a user requires use of abattery enabled device and how the user typically uses the batteryenabled device when the user's schedule does not indicate any event isschedule. In addition, user data 244 may include a location of thebattery enabled device, detected by monitoring service 223, monitoringservice 227, or monitoring service 233, with an evaluation of how a usertypically uses the battery enabled device when the user is at thelocation.

In one example, power service 110 may access power impact usage data 120including current or predicted temperature forecasts for a particularlocation from a temperature service 252. In one example, power service110 may receive a current location of a battery enabled device or detecta predicted location of a battery enabled device based on user schedule116, and query temperature service 252 to provide real-time updates forthe weather for the current location or predicted location. In oneexample, temperature service 252 may detect whether a location is anindoor location or an outdoor location, or possibly an indoor or outdoorlocation, depending on a user's elevation. For outdoor locations,temperature service 252 may access a current weather report or predictedweather forecast for the location from one or more weather services. Forindoor locations, temperature service 252 may predict an indoortemperature based on temperature information reported by a building orbased on previously record temperature data. For example, as powerservice 110 receives environment data 242, environment data 242 mayindicate a detected temperature within an indoor user environment andpower service 110 may send the location and detected temperature totemperature service 252 to monitor expected indoor temperatures at aparticular location.

In one example, power service 110 may access power impact usage data 120including current or predicted network availability for a particularlocation from a network mapping database 254. In one example, networkavailability may include Wi-Fi availability and cellular availability,along with indicating network strengths and provider requirements. Inone example, Wi-Fi providers and cellular providers may provide networkavailability mapping that is loaded into network mapping database 254.In another example, as power service 110 receives environment data 242indicating network availability within user environment 202, powerservice 110 may update network mapping database 254 with the locationsof network availability reported in environment data 242. By updatingnetwork mapping database 254 with real-time data from environment data242, if the network availability at a location does not match thenetwork availability indicated by a Wi-Fi provider or cellular provider,as users at the location report the change in network availability,network mapping database 254 may reflect real-time network availabilityand power service 110 may update battery predictions 114 to reflectchanges to battery life predicted based on changes to real-time networkavailability in a particular location for multiple users of powerservice 110.

In one example, power service 110 may access power impact usage data 120including manufacturer specifications for a battery enabled device andto access reviews of a battery enabled device from a device specsdatabase 248. In one example, manufacturer specifications available fromdevice specs database 248 may include, but are not limited to, idealoperating conditions, predicted device power consumption, predictedbattery life information, and additional specifications about a batteryenabled device that a manufacturer may provide. In addition, in oneexample, manufacturer specifications available from device specsdatabase 248 may include, but are not limited to, industry test resultsand evaluations and consumer evaluations of the operation of batteryenabled devices.

In one example, power service 110 may access power usage impact data 120including other user data and schedules 250 from battery enabled devicesfor other users and from schedule service 112 or other scheduleservices. In one example, by accessing other user data and schedules250, power service 110 may determine whether there are multiple batteryenabled devices currently available or scheduled to be accessible to agroup of users at a particular location and may prioritize the use offixed power outlets within a particular location, or recommendadditional battery charging accessories to support charging additionalbattery enabled devices at a particular location. In another example, byaccessing other user data and schedules 250, power service maydetermine, for an event in user schedule 116 that requires a user toprovide a service from among a group of users, whether other users mayhave a battery enabled device with more power available to provide theservice during the event. For example, if an event in user schedule 116is for a service call that requires use of a battery enabled device,with multiple technicians in a group assigned to the event, powerservice 110 may predict which technician in the group will have abattery enabled device that is adequately charged to provide serviceduring the event. In another example, power service 110 may also provideinformation from user data and schedules 250 to charging locationsdatabase 246, temperature services 252, network mapping database 254,device specs database 248, and a device history database 256.

In one example, power service 110 may access a device history database256 as power usage impact data 120. In one example, device historydatabase 256 may include records of device data 240, environment data242, user data 244, user schedule 116, other user data and schedule 250,and battery predictions 114 for one or more users for one or moreperiods of time. In one example, power service 110 may store records fora particular user from device status database 132 into a larger databaseof information collected for multiple users, across multiple devices,locations, and periods of time. In one example, calculation service 134of power service 110 may periodically filter and analyze records indevice history database 256 to calculate predictions of current andfuture use of battery enabled devices according to the type of device,location, time of day, type of event, applications used, and otherfactors that may impact the use of battery enabled devices. Calculationservice 134 may filter and analyze records in device history database256 for a particular user, a selection of users in a group or groups, orfor all users. For example, device history database 256 may filterrecords in device history database 256 for a particular location anddetect that an application most commonly used at the particular locationis an augmented virtual reality application, which consumes power at ahigher rate than most applications because of the need for constantnetwork access and the use of processing power for virtual realityimages. In another example, device history database 256 may filterrecords in device history database 256 for a particular location anddetect a percentage of users who are at the location and use a fixedpower outlet at the location or detect a percentage of users who are ata location that does not have a fixed power outlet, but use a batteryrecharger while at the location. In another example, device historydatabase 256 may filter records in device history database 256 for aparticular location and detect times of day, days of the week, seasonsof the year, or specific events when there are a large number of usersat the location, which may impact network availability. In anotherexample, device history database 256 may further filter records indevice history database 256 for a particular location for a particulargroup of users and detect the types of events scheduled for theparticular group of users that require each user in the group of usersto have access to multiple battery enabled devices throughout the event.In one example, device history database 256 may also include an analysisfunction that periodically analyzes the records in device historydatabase 256 according to particular rules and calculates statisticsregarding particular locations that power service 110 applies todetermine whether to update battery predictions 114 based on real-timechanges to the conditions of an environment included in user schedule116.

In one example, source monitor 130 may monitor power usage impact data120 including data from device data 240, environment data 242, user data244, charging locations database 246, temperature service 252, networkmapping database 254, device specs database 248, other user data andschedule 250, device history database 256, and user schedule 116.Calculation service 134 may analyze power usage impact data 120, alongwith data in device status database 132, and predict the times when theuser will require use of each of battery enabled device 220, batteryenabled device 224, and battery enabled device 228, identify and predictbattery life impact factors, such as usage and environment to estimate abattery life of each of battery enabled device 220, battery enableddevice 224, and battery enabled device 228 throughout a day, predictwhen each of battery enabled device 220, battery enabled device 224, andbattery enabled device 228 will require recharging, and identify one ormore locations where recharging is available to a user. Based on theanalysis, predictions, and identifications by calculation service 134,calculation service 134 may select and schedule optimum times andlocations for recharging each of battery enabled device 220, batteryenabled device 224, and battery enabled device 228 that will ensure thateach device is available when needed by the user, minimize the amount oftimes required for recharging devices throughout the day, and mitigatetimes when a device may be drained or charging, and not available. Powerservice 110 may output the optimum times and locations in batterypredictions 114, output to schedule service 112, for output to a userwithin an interface for accessing user schedule with charging recs 118,such as user interface 232 of battery enabled device 228.

In one example, when selecting and scheduling optimum times andlocations for recharging each of battery enabled device 220, batteryenabled device 224, and battery enabled device 228, calculations service134 may detect whether the optimum times and locations require a user tocarry additional hardware with the user, such as a battery recharger 260and battery charging accessories 264. Recommendation service 138, whengenerating the recharging event recommendations in battery predictions114, may specify whether a specific fixed power outlet is identified foruse, whether an area is known to include fixed power outlets that a usermay use, or whether the user will need to carry a charged batteryrecharger. In addition, recommendation service 138, when generating therecharging event recommendations in battery predictions 114, may specifyone or more battery charging accessories that a user may need to becarrying during specific times of the day.

In addition, when selecting and scheduling optimum times and locationsfor recharging each battery enabled device carried by a user,calculation service 134 may first detect, from a selection of registeredbattery enabled devices in user specifications 140, based on the eventsof the day, which battery enabled devices a user needs to be carryingwith them at different points throughout the day. Recommendation service138, when generating the recharging event recommendations in batterypredictions 114 may include a packing event that lists the specificbattery enabled devices and any battery rechargers and battery chargingaccessories the user will require for a particular day, that prompts theuser to pack a selection of battery enabled devices and hardware for theday, or at specific points during the day, depending on the user'sschedule, so that the user will have the necessary battery enableddevices and any battery rechargers and battery charging accessoriesrequired for upcoming events. In one example, recommendation service 138may also generate a sleep time recharging event that specific batteryenabled devices and any battery rechargers need to be charging while auser is sleeping, so that the battery enabled devices are fullyrecharged and ready to be packed as part of the packing event.

FIG. 3 illustrates a block diagram of one example of a power service foroptimizing a schedule of scheduled times and locations to charge batteryenabled devices based on individual usage data received from multiplebattery enabled devices and a schedule of predicted usage of themultiple battery enabled devices.

In one example, for a particular user, power service 110 receivesindividual current usage 314 and individual current usage 320. In oneexample, each of a battery enabled device A 310 and a battery enableddevice B 316 may each include a monitoring service, such as a monitoringservice 312 and a monitoring service 318, respectively. Monitoringservice 312 may locally monitor current usage of battery enabled deviceA 310 and output the monitored usage as individual current usage 314.Monitoring service 318 may locally monitor current usage of batteryenabled device B 316 and output the monitored usage as individualcurrent usage 320. In one example, individual current usage 312 andindividual current usage 320 may include one or more types of dataincluding, but not limited to, device data 240, environment data 242,and user data 242. In particular, individual current usage 312 andindividual current usage 320 may include data related to usageincluding, but not limited to, battery life, application usage,historical usage for a current time, predicted time remaining, andlocation.

In one example, for a particular user, power service 110 also receives auser schedule 330. In one example, user schedule 330 may includemultiple events for one or more periods of time, such as an event 332,an event 334, and an event 336. In one example, event 332 includes atime range of “1-2 PM”, a type of “meeting”, a location of “conferenceroom”, and a predicted device requirement of “A (active)” and “B(accessible)”. In one example, event 334 includes a time range of“2:30-4:00 PM”, a type of “scouting trip”, a location of “field”, and apredicted device requirement of “A (active)” and “B (accessible)”. Inone example, event 336 includes a time range of “5-6 PM”, a type of“practice”, a location of “soccer field”, and a predicted devicerequirement that is empty.

In one example, as calculation service 134 of power service 110 receivesuser schedule 330, calculation service 134 may analyze user schedule 330to determine which portions of schedule 330 may require additionalpredictions to more accurately predict the optimum times and locationsfor charging the battery enabled devices. In particular, a user may notupdate user schedule 330 with every actual event that the user isparticipating in that day or may leave some events without fullinformation about predicted device use. In one example, calculationservice 134 may analyze user schedule 330 to identify time periods thatdo not include any events, such as a time period prior to event 332, anda time period of “4-5 PM” between event 334 and event 336. In oneexample, calculation service 134 may analyze user schedule 330 toidentify characteristics of events that do not specify predicted deviceusage, such as a type of “practice” and a location of “soccer field” inevent 336, which does not include a device usage prediction.

In one example, based on the missing predicted device usage times andevents identified by calculations service 134 in user schedule 330,power service 110 may search device history database 256 and analyze theprevious schedules and device use by a particular user, for the missingusage times and events, to identify schedule history 322. In oneexample, battery enabled device A 310 represents a portable laptopcomputer that a user actively uses during work hours and battery enableddevice B 316 represents a portable telephone device that a user need tohave accessible during work hours, but generally the user actively usesthe applications on the portable telephone device during non-work hours.In one example, for a time period prior to event 332 of “12-1 PM”,schedule history 322 includes a predicted use of “device B” and apredicted level of use of “high use”, where the “12-1 PM” time windowmay represent a lunch break for the user, during which the userfrequently uses applications that require higher amounts of energy. Inone example, for a time period of “4-5 PM”, schedule history 322includes a predicted use of “device A” and a predicted level of use of“active” and a predicted use of “device B” and a predicted level of useof “accessible”, where the “4-5 PM” time window may represent a timeperiod that is generally part of the user's work day, but may not bespecifically scheduled in user schedule 330. In one example, for alocation of “soccer field”, schedule history 322 includes a predicteduse of “device A” and a predicted level of use of “sleep” and apredicted use of “device B” and a predicted level of use of “high use”,where the “soccer field” location may represent a non-work locationwhere the user typically leaves battery enabled device A 310 in a sleepmode and where the user frequently uses applications that require higheramounts of energy.

In one example, as illustrated each event, with the predicted devicerequirement, may include a level of predicted use required by device. Inone example, the predicted use may indicate a predicted percentage ofenergy that is predicted to be used. In another example, as illustrated,the predicted use levels may include identifiers, where each identifiermay correlate with a range of predicted percentage of energy use. In oneexample, a level of “high use” may represent a predicted level of use ofone or more applications on a device that require a significantly largerpercentage of energy than average applications. In one example, a levelof “active” may represent a predicted, consistent use of a device for aperiod of time in a manner that reduces the likelihood that the devicewill transition into a monitoring only or sleep mode and usingapplications that use an average or low percentage of energy. In oneexample, a level of “accessible” may represent a need for a device to beon, but may be in a monitoring mode where the device periodicallymonitors for certain types of information and maintains a networksignal, but the user is not predicted to regularly interact with thedevice interface. In one example, a level of “sleep” may represent amode in which a device is not turned off, but uses a minimal percentageof energy.

In one example, calculations service 134 may search charging locationsdatabase 246 for one or more of the locations identified in userschedule 330 and predicted in schedule history 322. In one example,calculation service 134 may access charging locations 324 from charginglocations database 246, including information and mapping data for the“conference room” location indicating that the power source available is8 power outlets, for the “field” location indicating there is no powersource available, and for the “soccer field” indicating there is a powersource that is limited, in the concession area, with 2 power outlets.

In one example, based on individual current usage 314, individualcurrent usage 320, user schedule 330, schedule history 322, and charginglocations mapping, in addition to additional factors and data availableto power service 110, calculation service 134 may generate predictionsof the optimum times and locations for recharging battery enabled deviceA 310 and battery enabled device B 316 and recommendation service 138 ofpower service 110 may output the optimum times and locations as batterypredictions 338. In one example, battery predictions 338 includes afirst recommendation “rec 1”, for both “device A” and “device B”, of atime period of “1-2 PM”, which recommends that as the user participatesin the meeting of event 332, the user use the power outlets available torecharge “device A” and “device B”. In one example, battery predictions338 includes a second recommendation of “rec 2” for “device B” of a timeperiod of “4-5 PM”, which recommends that the user recharge “device B”during time period, as power outlets are available. In one example,battery predictions 338 includes a third recommendation of “rec 3”, asan alternative, for “device B” of a time period of “5-6 PM”, whichrecommends that the user travel with a portable charger for the “5-6 PM”time period. In one example, battery predictions 338 may include one ormore recommendations that are marked as alternatives, which may benecessary if a previous charging time is not available, such as if thereis no power outlet available for recharging during the “rec2” time.

In one example, schedule service 112 may receive battery predictions 338and update the events in user schedule 330 to include one or more eventsbased on battery predictions 338, as illustrated by user scheduleupdated with battery predictions 340. In one example, schedule service112 may further graphically specify events within user schedule updatedwith battery predictions 340 to distinguish recommended charging eventsfrom other types of events. For example, a schedule display 360illustrates one example of a graphical output of user schedule updatedwith battery predictions 340 Schedule service 112 may graphicallyspecify events based on battery predictions 338 in a way thatdistinguishes recommended charging events from other types of events inuser schedule 330.

For example, schedule display 360 may include a selectable eventindicator of meeting 342, which is a graphical indicator for event 332,and a selectable event indicator of charge 344, which is a graphicalindicator for the battery prediction “rec1”, where charge 344 mayinclude a graphical indicator that distinguishes charge 344 from meeting342, such as a dotted line around the selectable event of charge 344. Inone example, a user may select the selectable event indicator of charge344 to receive additional information about the devices that need arerecommended to be charged and the recommended charging locations, ifany. In an additional or alternate embodiment, a separate eventindicator may be added to schedule display 360 for each of “device A”and “device B”. In an additional or alternate embodiments, a chargerecommendation may also be added into the description of the meeting 342or the event indictor of meeting 342 may be adjusted graphically toindicate that charging is recommended as part of meeting 342.

In one example, schedule display 360 may include a selectable eventindicator of scouting 346, which is a graphical indicator for event 334.In addition, schedule display 360 may include a selectable eventindicator of charge 348, which is a graphical indicator of batterypredictions “rec 2”. In one example, as a user progresses through theday, power service 110 may detect whether battery enabled device B 316is charged between 4 and 5 PM, and may adjust the event indicator ofcharge 348 to graphically indicator whether the device was or was notrecharged during charge 348. In another example, if schedule service 112detects a recommendation that includes a recommended location of “ifavailable”, such as in “rec 2”, schedule service 112 may prompt a userto provide additional information about the user's expected locationduring the recommendation time.

In one example, schedule display 360 may include a selectable eventindicator of practice 350, which is a graphical indicator for event 336,and a selectable event indicator of charge 352, which is a graphicalindicator for the battery prediction “rec3”, where charge 352 mayinclude a graphical indicator that distinguishes charge 352 frompractice 350, such as a dotted line around the selectable event ofcharge 352. In one example, if power service 110 detects battery enableddevice B 316 is charged between 4 and 5 PM, power service 110 may updatebattery predictions 338 and remove the recommendation of “rec 3”, suchthat schedule service 112 may remove charge 352 from schedule display360. In another example, recommendations that are alternatives, such as“rec 3”, may be graphically marked as an alternative, such that a usermay quickly visually see alternative times for charging a device. Inanother example, when a recommendation is marked as an alternative, suchas “rec 3”, schedule service 112 may prompt a user to indicate apreference between alternative recommended charging times. In oneexample, when a recommendation includes a location of “portablecharger”, schedule service 112 may graphically distinguish theselectable event indicator of charge 352 to indicate the chargingrecommendation includes a portable charger requirement, rather than alocation.

In one example, while FIG. 3 is described with reference to powerservice 110 accessing power usage impact data from multiple sources,including individual current usage 314 from battery enabled device A310, individual current usage 320 from battery enabled device B 316,user schedule 330 from schedule service 112, schedule history 322 fromdevice history database 256, and charging locations mapping 324 fromcharging locations database 246, in additional or alternate embodiments,power service 110 may access additional or alternate power usage impactdata sources including, but not limited to, data from computing device218, data from other user data and schedule 250, data from device specsdatabase 248, temperatures for locations from temperature service 252,and network access for locations from network mapping database 254.

FIG. 4 illustrates a block diagram of one example of a power service foroptimizing a schedule of scheduled times and locations to charge batteryenabled devices based on individual locations received from multiplebattery enabled devices, a schedule of predicted usage of the multiplebattery enabled devices, and location based battery usage impactfactors.

In one example, for a particular user, power service 110 receiveslocation 414 and individual current usage 320. In one example, asdescribed in FIG. 3, each of a battery enabled device A 310 and abattery enabled device B 316 may each include a monitoring service, suchas a monitoring service 312 and a monitoring service 318, respectively.Each of monitoring service 312 and monitoring service 318 may locallymonitor current usage at a battery enabled device and output differentselections of monitored usage. For example, while in FIG. 3 monitoringservice 312 output individual current usage 314, with multiple types ofusage information, in FIG. 4, monitoring service 312 may only outputlocation 414, indicating a current location of battery enabled device A310. Monitoring service 318 of battery enabled device B 316 may continueto output multiple types of usage information, including location,within individual current usage 320. As illustrated, in differentexamples, each monitoring service of each battery enabled device maymonitor and output different types of usage information to power service110.

In one example, for the particular user, power service 110 also receivesuser schedule 330, as described in FIG. 3. Calculation service 134 mayreceive user schedule 330 and analyze user schedule 330 to determinewhich portions of schedule 330 may require additional predictions tomore accurately predict the optimum times and locations for charging thebattery enabled devices. In particular, a user may not update userschedule 330 with every anticipated location or device use that day ormay leave some events without full information about predicted locationsand device use. In one example, calculation service 134 may analyze userschedule 330 to identify time periods that do not include anyanticipated location or device use, such as a time period prior to event332, a time period of “2-2:30” between event 332 and 334, and a timeperiod of “4-5 PM” between event 334 and event 336. In one example,calculation service 134 may analyze user schedule 330 to identifycharacteristics of events that do not specify predicted device usage,such as a type of “practice” and a location of “soccer field” in event336, which does not include a device usage prediction.

In one example, based on the missing predicted locations and deviceusage times and events identified by calculations service 134 in userschedule 330, power service 110 may search device history database 256and analyze the previous schedules and device use by a particular user,for the missing usage times and events, to identify schedule history422. In one example, for a time period prior to event 332 of “12-1 PM”,schedule history 422 includes a predicted use of “device B”, a predictedlevel of use of “high use”, a predicted location of a restaurantlocation, and a predicted location of mobile locations, where the “12-1PM” time window may represent a lunch break for the user, during whichthe user frequently uses applications that require higher amounts ofenergy and frequently travels to and from a restaurant location. In oneexample, for a time period between events 332 and 334 of “2-2:30 PM”,schedule history 422 includes a predicted location of a mobile location,without predicted device use, where the “2-2:30 PM” time window mayrepresent time that is typically during work hours, but is predicted toinclude travel time from the location in event 332 to the location inevent 334. In one example, for a time period of “4-5 PM”, schedulehistory 422 includes a predicted use of “device A” and a predicted levelof use of “active” and a predicted use of “device B” and a predictedlevel of use of “accessible”, with a predicted office location, wherethe “4-5 PM” time window may represent a time period that is generallypart of the user's work day at an office location, but may not bespecifically scheduled in user schedule 330. In one example, for alocation of “soccer field”, schedule history 422 includes a predicteduse of “device A” and a predicted level of use of “sleep” and apredicted use of “device B” and a predicted level of use of “high use”,where the “soccer field” location may represent a non-work locationwhere the user typically leaves battery enabled device A 310 in a sleepmode and where the user frequently uses applications that require higheramounts of energy.

In one example, calculation service 134 may search one or more oftemperature service 252, network mapping database 254, and other userdata and schedule 250, and device history database 256, along withadditional resources available to power service 110, to identify aselection of current and predicted location based battery usage impactfactors 424 for the locations predicted in user schedule 330 andschedule history 422. In one example, location based battery usageimpact factors 424 may indicate factors detected at specific locationsthat may increase the rate at which battery power is used above anormal, or expected rate. For example, the availability of wirelessnetwork access (Wi-Fi) at a location may impact the rate at whichbattery power is used, where if no, low or mixed Wi-Fi is available, thebattery enabled device may spend additional battery power, above anormal rate, searching for available networks or switching over to acellular network. For example, the availability and strength of cellularnetwork access at a location may impact the rate at which battery poweris used, where if no, low, or mixed cellular access is available, thebattery enabled device may spend additional battery power, above anormal rate, pinging cellular towers to search for available or strongercellular networks. In another example, the availability of a cellularnetwork access at a location may also impact the rate at which batterypower is used if a larger than average number of users are using batteryenabled devices in a particular area and the service strength andavailability decreases to provide limited service to each user. Forexample, the temperature at a location may impact the rate at whichbattery power is used, where if temperatures are above or belowthresholds, the rate at which a battery discharges may increase.

For example, location based battery usage impact factors 424 may includea time period of “current” and a factor of no wireless network (Wi-Fi)and “crowded cellular”, based on network mapping database 254 for thecurrent location or based on individual current usage 320, which mayindicate network availability and load for a user's current locationidentified in location 414 and individual current usage 320. In theexample, location based battery usage impact factors 424 may include atime period of “12-1 PM”, and a factor of “predict mixed Wi-Fi access”,based on network mapping database 254 and device history database 256for the predicted locations of “restaurant location” and “mobilelocation” from locations predicted in schedule history 422. In theexample, location based battery usage impact factors 424 may include atime period of “2:30-4:00 PM” and a factor of “high temp, no Wi-Fi, lowcellular” based on temperature service 252, network mapping database254, and device history database 256 for the predicted location of“field” based on the location specified in event 334. In the example,location based battery usage impact factors 424 may include a timeperiod of “5-6 PM” and a factor of “no Wi-Fi” based on network mappingdatabase 254 and device history database 256 for the predicted locationof “soccer field” based on the location specified in event 336. In theexample, location based battery usage impact factors 424 may alsoinclude time periods that are analyzed, but with no factors identified,such as a time period of “1-2 PM” and a factor of “none” for thepredicted location of “conference room” based on the location specifiedin event 332, a time period of “2-2:30 PM” and a factor of “none” forthe predicted location of “mobile location” based on the locationspecified in schedule history 422, and a time period of “4-5 PM” and afactor of “none” for the predicted location of “office location” basedon the location specified in schedule history 422.

In one example, power service 110 may determine one or more optimumtimes and locations for recharging battery enabled device A 310 andbattery enabled device B 316, based on location 414, individual currentusage 320, user schedule 330, schedule history 422, and location basedbattery usage impact factors, in view of one or more priorities for theuser, such as a user priority 430. In one example, user priority 430 mayinclude one or more types of priorities, specified by the user, bydevice, by time, or by other unit. In one example, user priority 430includes a priority for a time period that a user prioritizesmaintaining a charge in “device B” of 10 AM-7 PM. In one example, powerservice 110 may apply user priority 430 by selecting to add additionalcharging recommendation times and adding additional chargingrecommendation hardware to improve the chance that the user prioritywill be met.

In one example, schedule service 112 may receive battery predictions 438and update user schedule 330 with one or more events, tasks, or otheradditions for one or more of the recommendations in battery predictions438, as illustrated by user schedule updated with battery predictions440. In one example, schedule service 112 may further graphicallyspecify events within user schedule updated with battery predictions 340to distinguish recommended charging events from other types of events.For example, a schedule display 460 illustrates one example of agraphical output of user schedule updated with battery predictions 440.

In one example, both battery predictions 338 and battery predictions 438are calculated by power service 110 based on individual current usage320, user schedule 330 and schedule histories predicted based on devicehistory database 256 for the same battery enabled devices, for aparticular user, and both include the same “rec 1”, “rec 2”, and “rec3”, however, in battery predictions 438, “rec 3” is not identified as analternative, but an expected charging time. In one example, powerservice 110 may identify “rec 3” as expected, rather than alternative,based on a predicted increase in power required during the “2:30-4:00PM” window when the temperatures are high, no Wi-Fi is available, andthe cellular signal is low strength, such that even though “device B” ispredicted in event 334 to be “accessible”, there may be a higher impacton battery usage given the location based factors to maintain a cellularnetwork connection and receive pushed data notification on “device B”.Based on the location based battery usage impact factors for the“2:30-4:00 PM” window, power service 110 may calculate that the rate ofbattery discharge may significantly increase on “device B”, such thateven if the user is able to charge “device B” during a portion of the“4-5 PM” window, for the predicted high use of “device B” during the“5-6 PM” window, a portable charger may be necessary to ensure thebattery remains charged for the duration of the time window.

Battery predictions 438, which power service 110 calculates based onlocation 414, the location predictions in schedule 422, location basedbattery usage impact factors 424, and user priority 430, may alsoinclude an additional recommendation of “rec 4”, recommending that from“12-1 PM”, the user charge “device B” for at least 15 minutes, if apower source is available. In particular, based on individual currentusage 320 for the current location, with factors of “no Wi-Fi” and“crowded cellular”, along with user priority 430 that “device B” remaincharged between “10 AM and 7 PM”, power service 110 may additionallyrecommend that the user find a location for at least 15 minutes ofcharging during the “12-1 PM” window in order to maintain a chargedbattery in “device B”. As illustrated in schedule display 460, aselectable indicator of charge 441 is added for “rec 4” from batterypredictions 438.

In one example, while FIG. 4 is described with reference to powerservice 110 accessing power usage impact data from multiple sources,including location 414 from battery enabled device A 310, individualcurrent usage 320 from battery enabled device B 316, user schedule 330from schedule service 112, schedule history 422 from device historydatabase 256, and location based battery usage impact factors 424 fromdevice history database 256, temperature service 252, and networkmapping database 254, in additional or alternate embodiments, powerservice 110 may access additional or alternate power usage impact datasources including, but not limited to, data from computing device 218,data from other user data and schedule 250, and data from device specsdatabase 248.

FIG. 5 illustrates a block diagram of one example of a power service forpredicting battery consumption factors for an area based on batteryusage information provided by multiple battery enabled device in thearea and updating user schedules with an alert identifying predictedbattery consumption factors above a threshold for an area.

In one example, power service 110 may receive individual current usagefrom multiple battery enabled devices. For example, power service 110may receive individual current usage 512 from battery enabled device510, individual current usage 516 from battery enabled device 514,individual current usage 522 from battery enabled device 520, andindividual current usage 526 from battery enabled device 524. In oneexample, individual current usage may include one or more of device data240, environment data 242, and user data 244.

In one example, a battery factor service 530 may identify, from eachselection of individual current usage record received, one or more usagevalues and a location. In one example, battery factor service 530 maystore each individual current usage record received in device historydatabase 256 with an identifier of the battery enabled device and timestamp. In one example, as battery factor service 530 stores eachindividual current usage record, battery factor service 530 may alsoaccess a temperature service 252 to determine a temperature for thelocation identified in the record and may store the temperature with therecord. In addition, battery factor service 530 may access a networkmapping database 254 for the location identified in the record to accessnetwork information about the location and may store the networkinformation with the record.

In one example, battery factor service 530 may periodically searchrecords in device history database 256 according to area. In oneexample, an area may include a particular mapped location or a range ofmapped locations. In one example, battery factor service 530 may includea setting of locations identified by area 532 that specifies a range oflocations specified for an area identifier. In one example, batteryfactor service 530 may search device history database 256 for recordswith locations specified for a particular area identifier and may alsosearch for time stamps matching a specific time or a range of times.

In one example, battery factor service 530 may analyze the selectedrecords returned from searching device history database 256 by area andby time. In one example, battery factor service 530 may analyze theselected records to determine values of one or more types of batteryusage impact factors present in each area. In particular, factor typesand thresholds 534 may identify one or more types of battery usageimpact factors to identify including, but not limited to, temperature,weather conditions, network access, number of users, and use ofapplications with location based features. In one example, batteryfactor service 530 may analyze the selected records, in view of factorstypes and threshold 534, to generate detected battery usage impactfactors by area and time period 536 for previous time periods and acurrent time period. In addition, battery factor service 530 may analyzetemperature service 252, network mapping database 254 and user schedules550 for multiple users, in view of factor types and thresholds 534, togenerate detected battery usage impact factors by area and time period536 for future time periods. For example, temperature service 252 mayinclude weather predictions, network mapping database 254 may includeindicators of temporary network facilities that are scheduled bylocation and time window in the future, and user schedules 550 formultiple users may include indications of the number of users who havescheduled events to be at a particular location and time window in thefuture.

In one example, battery factor service 530 may further analyze detectedbattery usage impact factors by area and time period 536 to generatepredicted battery consumption factors by area and time period 538. Inone example, battery factor service 530 may rate each of the types ofbattery consumptions factors by level and may calculating a consumptionfactor based on the combined ratings. The ratings may be set topredetermined thresholds and may also be adjusted for values reported inindividual current usage records. For example, battery factor service530 may generally rate a battery usage impact factor of a temperaturebelow 95 degrees F. as a 0, but rate a temperature 95 to 98 as a 1 and atemperature higher than 98 as a 3, however, based on the actual batteryusage reported in individual current usage records in an area, batteryfactor service 530 may adjust the ratings to reflect the reported impactof the temperature on the rate of battery discharge. For example,battery factor service 530 may generally rate a battery usage impactfactor of use of a mapping location as a 1, but rate a use of anaugmented reality application as a 3, however, based on the actualbattery usage reported in multiple individual current usage records inthe area, battery factor service 530 may adjust the ratings to reflectthe impact of the use of the particular location application on the rateof battery discharge. For example, battery factor service 530 maygenerally rate a battery usage impact factor of an area with an averagenumber of users as a 0, but increase the rating to reflect additionalpercentages of users in an area, however, based on the actual batteryusage reported in multiple individual current usage records in the area,battery factor service 530 may adjust the ratings to reflect thereported impact of the number of users in an area on the rate of batterydischarge. For example, battery factor service 530 may generally rate abattery usage impact factor of access to a Wi-Fi network as a 0, butrate lack of access to a Wi-Fi network as a 1, however, based on theactual battery usage reported in multiple individual current usagerecords in the area, battery factor service 530 may adjust the ratingsto reflect the reported impact of the availability of Wi-Fi in an areaon the rate of battery discharge. For example, battery factor service530 may generally rate a battery usage impact factor of access to strongcellular service as a 0, but increase the rating for lower strengths ofservice, however, based on the actual battery usage reported in multipleindividual current usage records in the area, battery factor service 530may adjust the ratings to reflect the reported impact of the strength ofcellular service in an area on the rate of battery discharge. In oneexample, the predicted battery consumption factor may be reflected inone or more types of units including, but not limited to, one or morenumerical values, one or more percentages, one or more levels, and oneor more additional unit identifiers.

In one example, battery factor service 530 may compare predicted batteryconsumption factors by area and time period 538 with factor types andthresholds 534 to identify if any battery consumption factors exceed theone or more threshold set in factor types and thresholds 534. In oneexample, factor types and thresholds 534 may also include differentthresholds set for the battery consumption factors based on additionalfactors, such as time of day, day of the week, and length of timeperiod.

In one example, if battery factor service 530 determines that a batteryconsumption factor for a particular area and time period exceeds one ormore thresholds, battery factor service 530 may search a database ofuser schedules 550, including multiple user schedules managed by powerservice 110 for multiple subscribers, to determine if there are anyusers scheduled to be in the area, during the time period that a batteryconsumption factor is indicated as exceeding a threshold. In oneexample, battery factor service 530 may include any users with events inuser schedules 550 in the area during the time period in users scheduledfor area for a time period with a high battery consumption factor 540.

In one example, if battery factor service 530 determines that a batteryconsumption factor for a particular area and time period exceeds one ormore thresholds, battery factor service 530 may search a database ofuser schedules 550 and may also search the currently received individualcurrent usage records, to determine if there are any users in the area,during a current time period, when the battery consumption factor isindicated as exceeding a threshold. In one example, battery factorservice 530 may include any users currently detected in the area duringthe time period in users currently located in area with a high batteryconsumption factor 542.

In one example, for users scheduled for area for a time period with ahigh battery consumption factor 540, calculation service 134 may assessthe battery consumption factor for the event in a user's schedule thatis the area and determine what additional or updated chargingrecommendations are needed to accommodate the battery consumption factorwithin the user's schedule as a whole. For each user identified to bescheduled in the area during the time period, calculation service 134may assess the user's schedule in view of the battery consumption factorand recommendation service 138 may output an updated schedule withcharging records in view of the consumption factor 554 to a scheduleservice 562.

In one example, for users currently located in an area with a highbattery consumption factor 542, calculation service 134 may also assessthe battery consumption factor for the event in a user's schedule thatis the area and determine what additional or updated chargingrecommendations are needed to accommodate the battery consumption factorwithin the user's schedule as a whole. For each user with a mobiledevice in the area during the time period, calculation service 134 mayassess the user's schedule in view of the battery consumption factor andrecommendation service 138 may output an updated schedule with chargingrecords in view of the consumption factor 554 to a schedule service 562.In addition, for users currently located in an area with a high batteryconsumption factor 542, recommendation service 138 may automaticallygenerate a battery consumption factor alert for the event in area 552and output the alert to a schedule service 560 for each user. In oneexample, schedule service 560 may push battery consumption factor alertfor event in area 552 to the user's schedule, for output in the scheduledisplay interface or for output in a scheduled event popup alert window.

In one example, an area, such as area 502 may have a high temperaturecondition, such as a temperature above 98 degrees F. In one example,based on battery factor service 530 detecting from temperature service252 that battery enabled device 510 and battery enabled device 514 arein area 502 with a high temperature condition, battery factor service530 may detect a battery consumption factor predicting that batterieswill discharge at a faster rate in area 502. In the example, by batteryfactor service 530 also accessing individual current usage 512 andindividual current usage 516, battery factor service 530 may moreaccurately predict the battery consumption factor based on actualdischarge rates of batteries in use in area 502. Further, by batteryfactor service 530 also accessing individual current usage 512 andindividual current usage 516 from battery enabled devices in area 502,battery factor service 530 may also determine a number of users in thearea and detect whether other battery usage impact factors are impactingthe rate at which batteries discharge within area 502. For example,based on individual current usage reported by battery enabled device 510and battery enabled device 514 in an area 502, battery factor service530 may detect that the impact of a higher temperature in an area and500% increase in the number of users accessing Wi-Fi and cellularservice over an hour, is causing the rate of discharge of batteries inbattery enabled device 510 and battery enabled device 514 to increase.Battery factor service 530 may alert the users of battery enabled device510 and battery enabled device 514 that the conditions in the area havetriggered a high battery consumption factor and alert users scheduled toenter the area soon that the conditions in the area have triggered ahigh battery consumption factor, so that if an area has unexpectedconditions that significantly reduce the expected battery liferemaining, users are notified of the unexpected conditions. In addition,battery factor service 530 may detect, from looking at previouslydetected battery usage impact factors by area and time period 536,whether there is a pattern of high temperatures and a similar increasein the number of users accessing Wi-Fi and cellular service duringprevious time periods and predict a similar battery consumption factorfor a future time period, according to the pattern, so that if the arearegularly has the conditions according to a pattern, such as duringscheduled outdoor events during the summer, users scheduled to attendthe upcoming scheduled outdoor events in the area are alerted to thebattery consumption factor in the area.

For example, based on individual current usage reported by batteryenabled device 520 and battery enabled device 524 in an area 518, alongwith individual current usage reported by other battery enabled devicesover multiple time periods and stored in device history database 256,battery factor service 530 may identify specific locations in an area518 where there is no cellular access or where there is cellular access,but is low strength and frequently drops out. In one example, whilenetwork mapping database 254 may include mapped locations for area 518illustrating network signals provided by a cellular provider, which mayindicate no service or low service areas, battery factor service 530uses the individual current usage collected from battery enabled devicespresent in area 518, over time, to determine the battery consumptionfactor for area 518 caused by the actual no service or low serviceconditions. By detecting the battery consumption factor for area 518,battery factor service 530 may evaluate common routes in area 518 andrecommend locations where users turn off battery enabled devices andwhere users turn on battery enabled devices, along with adjusting thebattery consumption factor for temperature, application use, and otherbattery usage impact factors for the route. For example, if area 518represents a hiking route in a remote area, users of the hiking routemay bring battery enabled devices and periodically use mappingapplications or communication applications. Battery factor service 530may detect battery consumption factors for different locations along thehiking route, as well as available power sources in area 518 or in areasnext to area 518, and recommend both charging times and locations aswell as recommending locations where, to conserve the available batterylife, the battery enabled device should be powered off or cellularservice turned off.

For example, based on individual current usage reported by batteryenabled device 510 and battery enabled device 514 in area 502, alongwith individual current usage reported by other battery enabled devicesover multiple time periods and stored in device history database 256,battery factor service 530 may detect time periods when use of aparticular application or type of application is higher in area 502 andcalculate a battery consumption factor for a particular time period.Based on the battery consumption factor for area 502 for a particulartime period, power service 110 may predict that users who frequently usethe particular application when they are in the area are likely to usethe particular application when scheduled to be in area 502 and mayadjust battery charging recommendations based on the battery consumptionfactor impacted by predicted use of the particular application. Forexample, device history database 256 may include records indicating thata user periodically plays an augmented reality game, which may belocation based. Battery factor service 530 may detect, from individualcurrent usage reported by battery enabled devices in area 502 that useof the augmented reality game is high in area 502 during particular timewindows. A user may not take the time to schedule events for use of theautomated reality game, however, if power service 110 detects the userschedule includes an event in area 502 during one of the particular timewindows, power service 110 may predict that because the battery usageimpact factors for area 502 indicate a high rate of use of the augmentedreality game, the user will access the augmented reality game while inarea 502 and determine charging recommendations based on the batteryconsumption factor for area 502 including the application based batteryusage impact factor.

FIG. 6 illustrates one example of a block diagram of specifying charginglocations by user based on battery charging information reported bybattery enabled devices to a power service.

In one example, as previously described in FIG. 2, each battery enableddevice may include a monitoring service, such as monitoring service 603,that locally monitors one or more aspects of usage of a battery enableddevice. In one example, as illustrated in FIG. 6, monitoring service 603may include a recharge service 604 that monitors usage of a batteryenabled device while the battery enabled device is being recharged.

In one example, when monitoring service 603 detects that a batteryenabled device is being recharged, recharge service 604 may detect oneor more aspects of battery usage during recharging, illustrated asbattery charging information 605. For example, recharge service 604 maydetect one or more aspects of the battery usage during rechargingincluding, but not limited to, a battery charging source 606, a batterycharging duration 607, and a location 608. Monitoring service 603 mayinclude battery charging information 605, along with any otherinformation locally monitored about usage of a battery enabled device asdevice usage 600, in device data 609 provided by monitoring service 603to power service 110. In on example, device usage 600 may also includeadditional information about usage of a battery enabled deviceincluding, but not limited to battery life, application usage,historical usage for a current time, and other usage informationidentified, analyzed, and collected by monitoring service 603.

For example, recharge service 604 may detect, by analyzing thecharacteristics of the recharging power or a signal output from thepower source, a type of battery charging source 606. In one example, byanalyzing the characteristics of the recharging power and rechargingsignals, recharge service 604 may determine whether a power source is anAC power outlet, a DC to AC converted power outlet, a USB charger, or asolar charger. In addition, in one example, a power source may activelyor passively output data, through a wireless or wired medium, indicatingthe type of power source. Recharge service 604 may include a reader foractively or passively reading data output by a power source. Rechargeservice 604 may read additional types of information output by a powersource, such as, but not limited, to a type of power source, a number ofoutlets of the power source, a charging power of the power source, anamount of power remaining in the power source, and any limits on use ofthe power source.

In one example, recharging service 604 may track, in battery chargingduration 607, a start time, when a battery enabled device beginsrecharging from a power source, an end time, when a battery enableddevice is removed from the power source, along with one or more timesthat indicate the charge level of the device, such as a full chargetime, when a battery enabled device is fully charged. In addition, inone example, recharging service 604 may track, during the duration ofbattery charging, in location 608, each separate location of the batteryenabled device. In one example, by tracking the location of the batteryenabled device for the duration of a recharge, location 608 may indicatewhether the power source is in a fixed location or is portable.

In one example, multiple battery enabled devices may each include aninstance of monitoring service 603, with an instance of recharge service604, for locally tracking battery usage during recharging, and eachoutputting device data including battery charging source 606, batterycharging duration 607, and location 608. In one example, a batteryenabled device 610 and battery enabled device 614 are currentlyrecharging at a location 602 and a battery enabled device 620 andbattery enabled device 624 are current charging at a location 618. Inone example, an instance of monitoring service 603 on battery enableddevice 610 tracks and outputs device data 612, an instance of monitoringservice 603 on battery enabled device 614 tracks and outputs device data616, an instance of monitoring service 603 on battery enabled device 620tracks and outputs device data 622, and an instance of monitoringservice 603 on battery enabled device 624 tracks and outputs device data626.

In one example, power service 110 may receives device data from multiplebattery enabled devices and may include a battery charging service 630for identifying the elements of battery charging information 605 withindevice data 609. For example, battery charging service 630 may searchfor the elements of battery charging source 606, battery chargingduration 607, and location 608 within device data 612, device data 616,device data 622, and device data 626.

In one example, battery charging service 630 may store, by location, inbattery charging information database 634, elements of battery charginginformation 605 identified in device data 612, device data 616, devicedata 622, and device data 626, along with additional battery charginginformation received at other times from the same battery enableddevices or received from other battery enabled devices over time.

In one example, battery charging service 630 may analyze the entries inbattery charging information database 634 to identify battery charginginformation that includes multiple locations, and identify each recordthat identifies a power source that is a moving charging location inmoving locations 636. In one example, in marking moving locations 636,battery charging service 630 may further identify each of the locationsmarked in moving locations 636 as individual 638, indicating that thepower source is likely an individual, portable charger available to aparticular user or transportation 640, indicating that the power sourceis likely available in a transportation system, such as in a vehicle,plane, train, or other transportation option. In one example, batterycharging service 630 may detect that a battery charging source is a typeof USB charger, and the location mobile, and mark the battery chargingsource in moving locations 636 as individual 638, along with identifyinga particular user associated with the battery enabled device reportingthe device data. In another example, battery charging service 630 maydetect that a battery charging source is a type of DC to AC charger, andthe location is mobile, and mark the battery charging source in movinglocations 636 as transportation 640. In one example, by distinguishingmoving locations by individual movement and transportation movement,battery charging service 630 may identify, in charging locationsdatabase 246, which moving locations 636 are available to a particularuser, indicated by individual 638, and which moving locations 636 arepotentially available within transportation options, indicated bytransportation 640.

In addition, battery charging service 630 may further identify thespecific transportation option associated with records withintransportation 640 by matching the locations in records intransportation 640 with transportation provider information 650 toidentify particular power sources within transportation options. Forexample, transportation providers may provide power service 110 withinformation about transportation option routes and the power sourceswithin the transportation options, such as an airline provider providinginformation about a travel route for each flight and the power sourceswithin the aircraft used for the flight. Battery charging service 630may identify that device data returned from a battery enabled deviceincludes multiple locations, is not individual, and

In another example, battery charging service 630 may further identifythe specific transportation option associated with records withintransportation 640 by matching the locations in records intransportation 640 with transportation provider information in a user'sschedule for an event at the location. For example, battery chargingservice 630 may access user schedules 550, including multiple userschedules, and identify an event in a particular user's schedule thatmatches with the time period that the user's battery enabled devicereports device data. The identified event in user schedules 550 mayinclude information about the user's travel, such as a particularairline that the user is scheduled to fly on, the aircraftidentification, and the power sources available on the aircraft. Batterycharging service 630 may update the record for a moving location intransportation 640 with the aircraft identifier and power sourcesidentified in the identified event.

In one example, battery charging service 630 may determine, afterfiltering out moving locations 636 from battery charging informationdatabase 634, one or more power outlet locations 642 from batterycharging information database 634. In one example, battery chargingservice 630 may filter charging locations database 246 to remove movinglocations 636 and records with a battery charging source, a USB charger,solar charger, or DC to AC charger that are not identified within movinglocations 636. In one example, while some battery charging sourceinformation received in device data may indicate that a power source isa power outlet, some battery charging source information received indevice data may not specifically identify a charging source that is apower outlet.

In one example, charging locations database 246 may include securedlocations maps 646, which include one or more maps provided byorganizations, governments, administrators, individuals, or others thatspecify specific locations that require security authorization of sometype for entry. In one example, a map in secured locations maps 646 mayidentify the type of authorization that a user is required to have toenter the area and may indicate whether a power source is restrictedfrom display to users who do not have the type of authorization. Forexample, a ticket-only event arena may load a map of an arena intosecured locations maps 646 that identifies ticket-only entry areas, butnot does not restrict the locations of power sources within the areasfrom being displayed to all uses, however, a company with secured areasaccessible only to authorized users and authorized guests may load a mapinto secured locations maps 646 indicating that a user may have anelectronic authorization to enter an area and to view the power sourcesin the area. In one example, a map in secured locations map 646 may alsoidentify a time period when an area is secured and requiresauthorization to enter, such as a map identifying a time period for atemporary outdoor event in a park. In addition, a map in securedlocations maps 646 may identify a time period when an area is accessibleto the public and a time period when an area is only accessible with aspecific type of authorization. In one example, some types of areas,such as residential areas, may be automatically marked in securedlocations maps 646 as requiring authorization.

In one example, battery charging service 630 may filter power outletlocations 642 and transportation 640 through secured locations maps 646to identify a selection of base maps by security authorization 648. Inone example, base maps by security authorization 648 may include eachpower outlet identified in power outlet locations 642 and each powersource identified in transportation 640 identified by whether thelocation is publicly accessible or whether the location requires asecurity authorization, and the level of security authorization. Inaddition, base maps by security authorization 648 may further specifythe time periods when security authorization is required.

In one example, calculation service 134 of power service 110 may requestthat battery charging service 630 specify a base map of power outletsfor a particular user, such as “user A”, for one or more locations andperiods of time. Battery charging service 630 may select a base map forthe one or more locations from base maps by security authorization 648,and further specify the base map, in a base map for user A 652, to onlyshow the locations available to the particular user, for the user'sauthorization settings, and for the particular periods of time. Forexample, base map for user A 652 may be specified with a selection ofpublic locations of power sources available to all users, identified aspublic locations 654. For base map for user A 652, battery chargingservice 630 may filter out any power source locations from base maps bysecurity authorization 648 that “user A” does not have authorization toenter or that are not accessible during the time periods. In determiningthe authorizations of “user A”, battery charging service 630 may checkone or more digital credentials for a user, such as a user's networksecurity credentials or a user's registration credentials. In anotherexample, in determining the authorization of “user A”, battery chargingservice 630 may check whether a user's schedule or electronic mailindicates the user has purchased a ticket for an event or for travel, toreceive permission to enter an area. In yet another example, indetermining the authorization of “user A”, battery charging service 630may prompt a user to indicate whether the user has a certain type ofrequired authorization for a location when filtering base maps bysecurity authorization 648. Battery charging service 630 may identifypower sources included in base map for user A 652 to distinguish thepower sources the user is detected as having the authorization toaccess, in proper authorization locations 656, from the power sourcesthat require authorization, but the user may or may not be authorized toaccess, in authorization required locations 658.

Battery charging service 630 may initially specify base map for user A652 and provide base map for user A 652 to power service 110.Calculation service 134 may further specify base map for user A 652 whendetermining optimum times and locations for charging battery enableddevices for “user A” and select particular charging locations from thepower sources identified in base map for user A 652. In addition,recommendation service 138 may select to send base map for user A 652 toschedule service 112 for “user A”, in battery predictions 114, foroutput with user schedule with charging recs 118. In one example,recommended locations may be highlighted in base map for user A 652 whendisplayed to a user. In another example, base map for user A 652 may beimported into an existing mapping and navigation application at abattery enabled device, such that “user A” may view power sourcesavailable to the user in areas close to the user in the event the userneeds to look for or receive directions to power sources in an area.

FIG. 7 illustrates a block diagram of one example of a power service forprioritizing recharging of multiple battery enabled devices identifiedwithin a group.

In one example, multiple battery enabled devices may report individualcurrent usage to power service 110, such as battery enabled device 710reporting individual current usage 712, battery enabled device 714reporting individual current usage 716, battery enabled device 718reporting individual current usage 720, and battery enabled device 722reporting individual current usage 724. In one example, battery enableddevice 710, battery enabled device 714 and battery enabled device 718may represent devices identified in a same group within groupidentifiers 732, illustrated as group 702. In one example, batteryenabled device 722 may be in another group, or not assigned to a group.A single battery enabled device may be identified within multiplegroups.

In one example, group identifiers 732 within device history database 256may include groups identified by one or more group aspects including,but not limited to, identifiers of one or more specific battery enableddevices, identifiers of one or more specific types of battery enableddevices, identifiers of one or more specific users, identifiers of oneor more specific locations, and identifiers of one or more specificevent types. In one example, as power service 110 receives individualcurrent usage records, group service 704 analyzes group aspects of eachindividual current usage record received, dynamically determines a groupidentifier from group identifiers 732 associated with each individualcurrent usage record, and dynamically assign each individual currentusage record a group identifier in records by group identifier 734. Inone example, group 702 may be dynamically identified in groupidentifiers 732 based on a location of battery enabled devices, wheregroup service 704 detects a same particular location identified in eachof individual current usage 712, individual current usage 716, andindividual current usage 720 and matching a location in groupidentifiers 732 and assigns each of the individual current usage recordsa group identifier for the particular location in records by groupidentifier 734. When the group identifier is assigned by location, asthe location of a battery enabled device moves away from the location,group service 704 may adjust records by group identifier 734 to removethe battery enabled device from the group. In another example, group 702may be dynamically identified in group identifiers 732 based on useridentifiers of a selection of authorized users s, where group service704 detects the user identifiers associated with individual currentusage 712, individual current usage 716, and individual current usage720 match user identifiers for an authorized users group in groupidentifiers 732 and assigns each of the individual current usage recordsa group identifier for the authorized users group in records by groupidentifier 734.

In one example, group service 704 may also analyze one or more schedulesfrom user schedules 770, and dynamically identify a group identifierassociated with a schedule or a particular event in a schedule. In oneexample, group service 704 may dynamically assign one or more schedulesor events a group identifier in schedules by group identifier 736. Forexample, for group identifiers 732 based on location, if an event inuser schedules 770 is specified for the location, the event may beassigned the location group identifier in schedules by group identifier738. In another example, for group identifiers 732 based on useridentifier for an authorized users group, the events in user schedules770 specified for the user identifier may be assigned the groupidentifier for the authorized users group. In another example, an eventin user schedules 770 may be specified as a group event for a selectionof user identifiers, where the event may be added to schedules by groupidentifier with a group identifier for the event group.

In one example, group service 704 may identify, from schedules by groupidentifier 736, for a particular group identifier, the predicted usageof one or more battery enabled devices in the group based on theselection of scheduled events. For example, a selection of schedulesassociated with group 702 in schedules by group identifier 736, groupservice 704 may predict the usage of battery enabled device 710, batteryenabled device 714, and battery enabled device 718 based on theschedules.

In one example, for the grouping of battery enabled devices, for one ormore users, based on the individual current usage received for eachbattery enabled and the predicted usage for the group, device groupservice 704 may prioritize the recharging of each of the battery enableddevices at one or more power sources available for the group and assigna priority level to each battery enabled device in the group in prioritylevels for devices by group identifier 740. In one example, the prioritylevel may indicate a priority that the device is recharged to beavailable for use by the group or to be available for use at anotherevent not including the group. In one example, priority levels mayinclude an ordering of the priority of each battery enabled device,where each battery enabled device is assigned a separate position in theordering. In another example, priority levels may include assignment ofa level of priority, such as a “high”, “medium”, or “low” priority,where one or more battery enabled devices may be assigned each level ofpriority.

In one example, group service 704 may further specify charging timerecommendations for each battery enabled device, within a group,according to the predicted usage and priority levels assigned to thedevice in the group, and assign the charging time in charging timerecommendations by device 742. In one example, charging timerecommendations by device 742 may include a specific time or time windowfor charging a particular battery enabled device. In one example,charging time recommendations by device 742 may also include a specificlocation or selection of specific locations for charging a batteryenabled device. Group service 704 may identify the available powersources in an area and select to distribute recommended power sourcesamong the battery enabled devices to distribute the load on the powersources.

In one example, each of charging time recommendations by device 742 maybe output by power service 110 in one or more battery predictionsspecified for particular users and sent to the user's schedule serviceto be added to the user's schedule. In one example, power service 110may determine that battery enabled device 710 and battery enabled device714 of group 702 are devices specified for a “user A” and specify thecharging times for battery enabled device 710 and battery enabled device714 in charging time recommendations by device 742 in user A batterypredictions 750, sent to a schedule service 752 for handling a schedulefor user A. In one example, power service 110 may determine that batteryenabled device 718 of group 702 are devices specified for a “user B” andspecify the charging times for battery enabled device 718 in chargingtime recommendations by device 742 in user B battery predictions 754,sent to a schedule service 756 for handling a schedule for user B. Inyet another example, power service 110 may determine that batteryenabled device 710 and battery enabled device 714 of group 702 aredevices specified for a “user A” and that battery enabled device 718 ofgroup 702 is a device specified for a “user B”, and but includespecifications for charging times for battery enabled device 710,battery enabled device 714, and battery enabled device 718 in user Abattery predictions 750 and user B battery predictions 754, such thatusers of grouped battery enabled devices receive the schedule forcharging of all the grouped battery enabled devices, even if the batteryenabled devices are not all shared among the users in the group andindividual users may be responsible for plugging in their batteryenabled devices to recharge.

In one example, battery enabled device 710, battery enabled device 714,and battery enabled device 718 may be accessible to a group of two ormore users who are in a meeting together or in a location together wherethere is a need to prioritize the recharging of the devices. In oneexample, the need to prioritize the recharging of the devices may ariseif there is limited access to a power source and only a selected numberof devices may charge at a time unless additional hardware is availableto split a power source. In another example, the need to prioritize therecharging of the devices may arise if the users are moving amongmultiple locations during the event, and users need the devices to beportable for as long as possible before being tethered to a power outletto recharge. In another example, the need to prioritize the rechargingof the device may arise if the users are away from a power source, butone or more of the battery enabled devices may lose charge before thegroup returns to a power source, where the prioritization may indicate aprioritization of the order in which to use devices for specific tasksfor the group, and the devices that should be turned off or conserved,so that at least one of the battery enabled devices has charge remainingthroughout an event. In addition, additional or alternate conditions maytrigger the need to prioritize the recharging of the group of devicesavailable among multiple users.

In one example, group service 704 may identify charging timerecommendations by device 742 for the group of battery enabled device710, battery enabled device 714, and battery enabled device 718 in viewof the current usage of the devices, the predicted usage of the devicesbased on schedules of users in the group, and the priority levelsassigned to each of the battery enabled devices being available for useby the group. In one example, group service 704 may also effectivelyselect, within charging time recommendations by device 742, whichdevices should be used for particular applications that may be requiredby the group during the meeting. For example, charging timerecommendations by device 742 may specify a priority to rechargeportable telephone devices at the beginning of a meeting, and to run theparticular applications on the remaining power on a portable laptopdevice first, where charging time recommendations by device 742 mayspecify charging time recommendations for the portable telephone deviceswithin a first time window, while the portable laptop device is beingused, and a second time window for recharging the portable laptopdevice, once portable telephone devices are charged. In another example,charging time recommendations by device 742 may, in response todetecting that one or more of the battery enabled devices in group 702may run out of power before an event is completed and the devices may berecharged, recommend an order in which the devices should be used tohost the particular applications, to conserve some devices while othersare being used.

In one example, group service 704 may identify charging timerecommendations by device 742 for the group of battery enabled device710, battery enabled device 714, and battery enabled device 718 in group702, grouped according to the detected location of each of the batteryenabled devices. In one example, charging time recommendations by device742 may effectively schedule use of power source locations identified bygroup service 704. For example, in an airport terminal where usersfrequently need to use battery enabled devices and also recharge thebattery enabled devices, group service 704 may dynamically identify thebattery enabled devices within an area of an airport terminal within anairport group. Group service 704 may identify the power sourcesavailable for recharging multiple battery enabled devices in the airportgroup and select, based on individual current use and predicted use ofthe battery enabled devices in the airport group, including scheduledevents to leave the area based on flight departure event times, aprioritization for charging each of the battery enabled devices and anidentification of one or more power sources, from among the multiplepower sources, recommended for each user. In one example, group service704 may specify charging time recommendations by device 742 with a timewindow and one or more locations for charging. In one example, groupservice 704 may, in selecting time recommendations by device 742,effectively distribute battery enabled devices of different prioritylevels to different power sources within the area, to distribute theload on each power source.

In one example, group service 704 may also determine, if a service eventis scheduled in schedules by group identifier 736, where in a group ofbattery enabled devices, only a selection of one or more of the batteryenabled devices needs to be scheduled for use during an event. Forexample, a service event may include a scheduled service call to fix autility issue, where the utility may be located in a remote area wherepower sources are not readily available or may require portable use of abattery enabled device for long periods of time. The service event mayspecify that one or multiple technicians in a group may be finallyscheduled for the service call, based on availability of thetechnicians. In one example, each of the battery enabled devicesaccessible to each of the technicians may be specified in a groupidentified in group identifiers 732 or may be specified in a groupidentified in the service event. In one example, group service 704 mayprioritize the recharging of the group of battery enabled devices andalso select the selection of battery enabled devices and selection ofone or more technicians to send to the service event. In one example,group service 704 may specify the service event selection in userservice selection by group, according to predicted usage, chargingaccess, and priority levels 744. In one example, power service 110 mayapply the selections in service event selections 744 to the serviceevent from user schedules 770 and send service event selection update758 to schedule service 760, such that schedule service 760 may updatethe scheduled service event with the service event selection of one ormore selected technicians and one or more selected battery enableddevices from an available group.

FIG. 8 illustrates a block diagram of one example of a computer systemin which one embodiment of the invention may be implemented. The presentinvention may be performed in a variety of systems and combinations ofsystems, made up of functional components, such as the functionalcomponents described with reference to a computer system 800 and may becommunicatively connected to a network, such as network 802.

Computer system 800 includes a bus 822 or other communication device forcommunicating information within computer system 800, and at least onehardware processing device, such as processor 812, coupled to bus 822for processing information. Bus 822 preferably includes low-latency andhigher latency paths that are connected by bridges and adapters andcontrolled within computer system 800 by multiple bus controllers. Whenimplemented as a server or node, computer system 800 may includemultiple processors designed to improve network servicing power.

Processor 812 may be at least one general-purpose processor that, duringnormal operation, processes data under the control of software 850,which may include at least one of application software, an operatingsystem, middleware, and other code and computer executable programsaccessible from a dynamic storage device such as random access memory(RAM) 814, a static storage device such as Read Only Memory (ROM) 816, adata storage device, such as mass storage device 818, or other datastorage medium. Software 850 may include, but is not limited to, code,applications, protocols, interfaces, and processes for controlling oneor more systems within a network including, but not limited to, anadapter, a switch, a server, a cluster system, and a grid environment.

Computer system 800 may communicate with a remote computer, such asserver 840, or a remote client. In one example, server 840 may beconnected to computer system 800 through any type of network, such asnetwork 802, through a communication interface, such as networkinterface 832, or over a network link that may be connected, forexample, to network 802.

In the example, multiple systems within a network environment may becommunicatively connected via network 802, which is the medium used toprovide communications links between various devices and computersystems communicatively connected. Network 802 may include permanentconnections such as wire or fiber optics cables and temporaryconnections made through telephone connections and wireless transmissionconnections, for example, and may include routers, switches, gatewaysand other hardware to enable a communication channel between the systemsconnected via network 802. Network 802 may represent one or more ofpacket-switching based networks, telephony based networks, broadcasttelevision networks, local area and wire area networks, public networks,and restricted networks.

Network 802 and the systems communicatively connected to computer 800via network 802 may implement one or more layers of one or more types ofnetwork protocol stacks which may include one or more of a physicallayer, a link layer, a network layer, a transport layer, a presentationlayer, and an application layer. For example, network 802 may implementone or more of the Transmission Control Protocol/Internet Protocol(TCP/IP) protocol stack or an Open Systems Interconnection (OSI)protocol stack. In addition, for example, network 802 may represent theworldwide collection of networks and gateways that use the TCP/IP suiteof protocols to communicate with one another. Network 802 may implementa secure HTTP protocol layer or other security protocol for securingcommunications between systems.

In the example, network interface 832 includes an adapter 834 forconnecting computer system 800 to network 802 through a link and forcommunicatively connecting computer system 800 to server 840 or othercomputing systems via network 802. Although not depicted, networkinterface 832 may include additional software, such as device drivers,additional hardware and other controllers that enable communication.When implemented as a server, computer system 800 may include multiplecommunication interfaces accessible via multiple peripheral componentinterconnect (PCI) bus bridges connected to an input/output controller,for example. In this manner, computer system 800 allows connections tomultiple clients via multiple separate ports and each port may alsosupport multiple connections to multiple clients.

In one embodiment, the operations performed by processor 812 may controlthe operations of flowchart of FIGS. 9-19 and other operations describedherein. Operations performed by processor 812 may be requested bysoftware 850 or other code or the steps of one embodiment of theinvention might be performed by specific hardware components thatcontain hardwired logic for performing the steps, or by any combinationof programmed computer components and custom hardware components. In oneembodiment, one or more components of computer system 800, or othercomponents, which may be integrated into one or more components ofcomputer system 800, may contain hardwired logic for performing theoperations of flowcharts in FIGS. 9-19.

In addition, computer system 800 may include multiple peripheralcomponents that facilitate input and output. These peripheral componentsare connected to multiple controllers, adapters, and expansion slots,such as input/output (I/O) interface 826, coupled to one of the multiplelevels of bus 822. For example, input device 824 may include, forexample, a microphone, a video capture device, an image scanning system,a keyboard, a mouse, or other input peripheral device, communicativelyenabled on bus 822 via I/O interface 826 controlling inputs. Inaddition, for example, output device 820 communicatively enabled on bus822 via I/O interface 826 for controlling outputs may include, forexample, one or more graphical display devices, audio speakers, andtactile detectable output interfaces, but may also include other outputinterfaces. In alternate embodiments of the present invention,additional or alternate input and output peripheral components may beadded.

With respect to FIG. 8, the present invention may be a system, a method,and/or a computer program product. The computer program product mayinclude a computer readable storage medium (or media) having computerreadable program instructions thereon for causing a processor to carryout aspects of the present invention.

The computer readable storage medium can be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. A non-exhaustive list of more specific examples of thecomputer readable storage medium includes the following: a portablecomputer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a static random access memory (SRAM), a portablecompact disc read-only memory (CD-ROM), a digital versatile disk (DVD),a memory stick, a floppy disk, a mechanically encoded device such aspunch-cards or raised structures in a groove having instructionsrecorded thereon, and any suitable combination of the foregoing. Acomputer readable storage medium, as used herein, is not to be construedas being transitory signals per se, such as radio waves or other freelypropagating electromagnetic waves, electromagnetic waves propagatingthrough a waveguide or other transmission media (e.g., light pulsespassing through a fiber-optic cable), or electrical signals transmittedthrough a wire.

Computer readable program instructions described herein can bedownloaded to respective computing/processing devices from a computerreadable storage medium or to an external computer or external storagedevice via a network, for example, the Internet, a local area network, awide area network and/or a wireless network. The network may comprisecopper transmission cables, optical transmission fibers, wirelesstransmission, routers, firewalls, switches, gateway computers and/oredge servers. A network adapter card or network interface in eachcomputing/processing device receives computer readable programinstructions from the network and forwards the computer readable programinstructions for storage in a computer readable storage medium withinthe respective computing/processing device.

Computer readable program instructions for carrying out operations ofthe present invention may be assembler instructions,instruction-set-architecture (ISA) instructions, machine instructions,machine dependent instructions, microcode, firmware instructions,state-setting data, or either source code or object code written in anycombination of one or more programming languages, including an objectoriented programming language such as Smalltalk, C++ or the like, andconventional procedural programming languages, such as the “C”programming language or similar programming languages. The computerreadable program instructions may execute entirely on the user'scomputer, partly on the user's computer, as a stand-alone softwarepackage, partly on the user's computer and partly on a remote computeror entirely on the remote computer or server. In the latter scenario,the remote computer may be connected to the user's computer through anytype of network, including a local area network (LAN) or a wide areanetwork (WAN), or the connection may be made to an external computer(for example, through the Internet using an Internet Service Provider).In some embodiments, electronic circuitry including, for example,programmable logic circuitry, field-programmable gate arrays (FPGA), orprogrammable logic arrays (PLA) may execute the computer readableprogram instructions by utilizing state information of the computerreadable program instructions to personalize the electronic circuitry,in order to perform aspects of the present invention.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, apparatus(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer readable program instructions.

These computer readable program instructions may be provided to aprocessor of a general purpose computer, special purpose computer, orother programmable data processing apparatus to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing apparatus, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks. These computer readable program instructionsmay also be stored in a computer readable storage medium that can directa computer, a programmable data processing apparatus, and/or otherdevices to function in a particular manner, such that the computerreadable storage medium having instructions stored therein comprises anarticle of manufacture including instructions which implement aspects ofthe function/act specified in the flowchart and/or block diagram blockor blocks.

The computer readable program instructions may also be loaded onto acomputer, other programmable data processing apparatus, or other deviceto cause a series of operational steps to be performed on the computer,other programmable apparatus or other device to produce a computerimplemented process, such that the instructions which execute on thecomputer, other programmable apparatus, or other device implement thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof instructions, which comprises one or more executable instructions forimplementing the specified logical function(s). In some alternativeimplementations, the functions noted in the block may occur out of theorder noted in the figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts or carry out combinations of special purpose hardwareand computer instructions.

Those of ordinary skill in the art will appreciate that the hardwaredepicted in FIG. 8 may vary. Furthermore, those of ordinary skill in theart will appreciate that the depicted example is not meant to implyarchitectural limitations with respect to the present invention.

FIG. 9 illustrates a high level logic flowchart of a process andcomputer program for selecting and scheduling optimized times andlocations for charging battery enabled devices based on power usageimpact data received from multiple sources.

In one example, the process and computer program starts at block 900 andthereafter proceeds to block 902. Block 902 illustrates monitoring forpower usage impact data from multiple sources. Next, block 904illustrates receiving a user schedule. Thereafter, block 906 illustratesstoring the power usage impact data and user schedule in a device statusdatabase according to a user identifier. Next, block 908 illustratesanalyzing the power usage impact data and user schedule in view of oneor more priorities to calculate one or more available times andlocations for recharging the one or more battery enabled devices.Thereafter, block 910 illustrates selecting one or more optimum timesand locations from among the available times and locations. Next, block912 illustrates outputting battery predictions specifying the selectedone or more optimum times and locations, specified by battery enableddevice, to a schedule service for output in a user schedule, and theprocess ends.

FIG. 10 illustrates a high level logic flowchart of a process andcomputer program for updating a user schedule with one or more eventsfor the one or more optimum times and locations recommended by a powerservice for charging one or more battery enabled devices.

In one example, the process and computer program starts at block 1000and thereafter proceeds to block 1002. Block 1002 illustrates adetermination whether a schedule service receives battery predictions,specifying one or more optimum times and locations, specified by batteryenabled device, for a particular user. At block 1002, if a scheduleservice receives battery predictions for a particular user, then theprocess passes to block 1004. Block 1004 illustrates filtering thebattery predictions according to one or more user preferences forbattery predictions content. In one example, filtering the batterypredictions according to user preferences for battery predictionscontent may include identifying certain types of content, such asalternative recommendations, or recommendations that include a powerlocation of “as available” or “portable charger”, where specific typesof content may trigger additional alerts or prompts to a user, or whererecommendations with specific types of content may be removed. Next,block 1006 illustrates adding or updating one or more events, for eachof the filtered battery predictions, to the user schedule. Thereafter,block 1008 illustrates pushing the updated schedule to one or more userscheduling interfaces for the user, and the process ends.

FIG. 11 illustrates a high level logic flowchart of a process andcomputer program for monitoring individual monitored by a power servicefor charging one or more battery enabled devices.

In one example, the process and computer program starts at block 1100and thereafter proceeds to block 1102. Block 1102 illustrates monitoringcurrent application usage, battery status, Wi-Fi availability andstrength, cellular availability and strength, temperature, location, andbattery recharging status. Next, block 1104 illustrates storing the datamonitored during a particular time window in a local usage database witha history of usage data at multiple times. Thereafter, block 1106illustrates predicting, based on the data stored in the local usagedatabase, a time remaining for a battery before recharge based on one ormore of predicted application usage, rate of battery usage, predictedwifi and cellular availability, predicted temperatures, and predictedlocations for upcoming time windows. Next, block 1108 illustrates adetermination whether a battery recharging status is set to currentrecharging. At block 1108, if a battery recharge status is not set tocurrent recharging, then the process passes to block 1112. At block1108, if a battery recharging status is set to current recharging, thenthe process passes to block 1110. Block 1110 illustrates identifying,from charging source characteristics, a type of power source that thebattery enabled device is recharging from. Next block 1112 illustratesoutputting the individual current usage with the predicted timeremaining, along with additional predicted data and any power source, toa power service, and the process ends.

FIG. 12 illustrates a high level logic flowchart of a process andcomputer program for updating charging events to reflect actual usage ofa battery enabled device during an event period.

In one example, the process and computer program starts at block 1200and thereafter proceeds to block 1202. Block 1202 illustrates adetermination whether individual current usage is received from abattery enabled device. At block 1204, if individual current usage isreceived from a battery enabled device, then the process passes to block1204. Block 1204 illustrates identifying one or more current events in auser's schedule that include predicted use of the battery enableddevice. Next, block 1206 illustrates tracking, in a device historydatabase, the individual current usage and whether the predicted usageof the battery enabled device matches with the individual current usage.Thereafter, block 1208 illustrates outputting an event update for eachof the one or more current events in the user schedule to indicate theactual usage of the battery enabled device for the event period, and theprocess ends.

FIG. 13 illustrates a high level logic flowchart of a process andcomputer program for predicting battery consumption factors for an areabased on battery usage information provided by multiple battery enableddevice in the area and updating user schedules with an alert identifyingpredicted battery consumption factors above a threshold for an area.

In one example, the process and computer program starts at block 1300and thereafter proceeds to block 1302. Block 1302 illustrates adetermination whether individual current usage, specifying a location,from one of multiple battery enabled devices, is received. At block1302, if individual current usage, specifying a location, is received,then the process passes to block 1304. In one example, if individualcurrent usage does not specify a location, a user schedule may besearched for a location. Next, block 1304 illustrates identifying anarea including the location for the record. Thereafter, block 1306illustrates adding an area identifier for the area and a time stamp tothe record of individual current usage stored in the device historydatabase. Next, block 1308 illustrates a determination whether a factoranalysis is triggered. At block 1310, if a factor analysis is nottriggered, the process returns to block 1302. At block 1308, if a factoranalysis is triggered, then the process passes to block 1310.

Block 1310 illustrates identifying, for an area, from one or morerecords in the device history database, the status of one or morebusiness usage impact factors that may impact battery power consumptionby devices in the area. Next, block 1312 illustrates predicting, basedon the one or more battery usage impact factors for the area, apredicted battery consumption factor for the area. Thereafter, block1314 illustrates filtering multiple stored schedules of multiple usersto identify a selection of users with events currently, or in thefuture, scheduled in the area. Next, block 1316 illustrates analyzing,for each schedule of the selection of users, the schedule of events inthe area and the predicted battery consumption factor in the area, inview of one or more priorities, to recalculate one or more availabletimes and locations for recharging the user's one or more batteryenabled devices. Thereafter, block 1318 illustrates selecting, for eachschedule of the selection of users, one or more optimum times andlocations from among the available times and locations. Next, block 1320illustrates outputting, for each schedule of the selection of users,updated battery predictions specifying the selected one or more optimumtimes and locations, specified by battery enabled device, to aparticular schedule service for output in the user schedule, and theprocess passes to block 1322.

Block 1322 illustrates a determination whether the battery consumptionfactor for the area exceeds a threshold. At block 1322, if the batteryconsumption factor for the area does not exceed the threshold, then theprocess ends. At block 1322, if the battery consumption factor for thearea exceeds the threshold, then the process passes to block 1324. Block1324 illustrates detecting, from the individual current usage reportedin the area, one or more users present in the area. Next, block 1326illustrates detecting, from stored schedules, one or more usersscheduled to currently be in the area. Thereafter, block 1328illustrates outputting an alert identifying the predicted batteryconsumption factor for the area to the scheduling service for each ofthe users present in the area and scheduled in the area, and the processends.

The terminology used herein is for the purpose of describing particularembodiments only and is not intended to be limiting of the invention. Asused herein, the singular forms “a”, “an” and “the” are intended toinclude the plural forms as well, unless the context clearly indicatesotherwise. It will be further understood that the terms “comprises”and/or “comprising”, when used in this specification specify thepresence of stated features, integers, steps, operations, elements,and/or components, but not preclude the presence or addition of one ormore other features, integers, steps, operations, elements, components,and/or groups thereof.

The corresponding structures, materials, acts, and equivalents of allmeans or step plus function elements in the claims below are intended toinclude any structure, material, or act for performing the function incombination with other claimed elements as specifically claimed. Thedescription of the one or more embodiments of the invention has beenpresented for purposes of illustration and description, but is notintended to be exhaustive or limited to the invention in the formdisclosed. Many modifications and variations will be apparent to thoseof ordinary skill in the art without departing from the scope and spiritof the invention. The embodiment was chosen and described in order tobest explain the principles of the invention and the practicalapplication, and to enable others of ordinary skill in the art tounderstand the invention for various embodiments with variousmodifications as are suited to the particular use contemplated.

While the invention has been particularly shown and described withreference to one or more embodiments, it will be understood by thoseskilled in the art that various changes in form and detail may be madetherein without departing from the spirit and scope of the invention.

What is claimed is:
 1. A method comprising: receiving, by a computersystem, from one or more battery enabled mobile devices, battery usageinformation for one or more locations within an area; identifying, bythe computer system, from the battery usage information, one or morebattery usage impact factors that are location based that consumeadditional battery power for the area; predicting, by the computersystem, based on the one or more battery usage impact factors for thearea a predicted battery consumption factor in the area; filtering, bythe computer system, one or more user schedules to identify a selectionof user with one or more events scheduled in the area currently or at afuture time; analyzing, by the computer system, for each separateschedule of each of the selection of users, the one or more eventsscheduled in the area and the predicted battery consumption factor inthe area to dynamically adjust one or more recommended charging timesand charging locations for charging at least one separate batteryenabled mobile device of each of the selection of users; and outputting,by the computer system, for each of the selection of users, the adjustedone or more recommended charging times and charging locations to aseparate scheduling service, the scheduling service for updating eachseparate schedule of each of the selection of users with the at leastone event for the one or more recommended charging times and charginglocations, each separate schedule output by the scheduling service tothe at least one separate battery enabled mobile device via a networkenvironment.
 2. The method according to claim 1, wherein receiving, bythe computer system, from the one or more battery enabled mobiledevices, battery usage information for one or more locations within anarea further comprises: receiving, by the computer system, the batteryusage information comprising one or more of a battery life, usage of oneor more applications, historical usage for a current time period, apredicted time remaining, a current location, wireless network serviceaccess, cellular network service access, and a temperature.
 3. Themethod according to claim 1, further comprising: detecting, by thecomputer system, whether each of the one or more locations within thearea is indoor or outdoor dependent upon elevation; in response todetecting at least one outdoor location of the one or more locations,accessing, by the computer system, a current temperature for each atleast one outdoor location in the area from a weather service, theweather service accessible via the wireless network, the weather serviceproviding a current weather report of the current temperature detectedfor the at least one outdoor location; in response to detecting at leastone indoor location of the one or more locations, predicting, by thecomputer system, a current temperature for each at least one indoorlocation based on one or more previously reported temperatures for theat least one indoor location; and storing, by the computer system, thecurrent temperature with the battery usage information.
 4. The methodaccording to claim 1, wherein identifying, by the computer system, fromthe battery usage information, one or more battery usage impact factorsthat are location based that consume additional battery power for thearea further comprises: identifying, by the computer system, from thebattery usage information, the one or more battery usage impact factorscomprising a temperature for the area and the amount that thetemperature exceeds a temperature threshold for the area.
 5. The methodaccording to claim 1, wherein identifying, by the computer system, fromthe battery usage information, one or more battery usage impact factorsthat are location based that consume additional battery power for thearea further comprises: identifying, by the computer system, from thebattery usage information, the one or more battery usage impact factorscomprising a wireless network access availability for the area.
 6. Themethod according to claim 1, wherein identifying, by the computersystem, from the battery usage information, one or more battery usageimpact factors that are location based that consume additional batterypower for the area further comprises: identifying, by the computersystem, from the battery usage information, the one or more batteryusage impact factors comprising a cellular network access availabilityfor the area and a strength of the cellular network access above athreshold for the area.
 7. The method according to claim 1, whereinidentifying, by the computer system, from the battery usage information,one or more battery usage impact factors that are location based thatconsume additional battery power for the area further comprises:identifying, by the computer system, from the battery usage information,the one or more battery usage impact factors comprising a particularapplication access for the area and the amount of access of theapplication that exceeds a threshold for the area.
 8. The methodaccording to claim 1, further comprising: comparing, by the computersystem, the predicted battery consumption factor with a threshold; inresponse to the predicted battery consumption factor exceeding thethreshold: detecting, by the computer system, from the battery usageinformation reported by the one or more battery enabled mobile devices,a selection of one or more users currently present in the area; andoutputting, by the computer system, an alert identifying the predictedbattery consumption factor exceeding the threshold for the area to theseparate scheduling service for each of the selection of one or moreusers present in the area.
 9. A computer system comprising one or moreprocessors, one or more computer-readable memories, one or morecomputer-readable storage devices, and program instructions, stored onat least one of the one or more storage devices for execution by atleast one of the one or more processors via at least one of the one ormore memories, the stored program instructions comprising: programinstructions to receive, from one or more battery enabled mobiledevices, battery usage information for one or more locations within anarea; program instructions to identify, from the battery usageinformation, one or more battery usage impact factors that are locationbased that consume additional battery power for the area; programinstructions to predict, based on the one or more battery usage impactfactors for the area a predicted battery consumption factor in the area;program instructions to filter one or more user schedules to identify aselection of user with one or more events scheduled in the areacurrently or at a future time; program instructions to analyze, for eachseparate schedule of each of the selection of users, the one or moreevents scheduled in the area and the predicted battery consumptionfactor in the area to dynamically adjust one or more recommendedcharging times and charging locations for charging at least one separatebattery enabled mobile device of each of the selection of users; andprogram instructions to output, for each of the selection of users, theadjusted one or more recommended charging times and charging locationsto a separate scheduling service, the scheduling service for updatingeach separate schedule of each of the selection of users with the atleast one event for the one or more recommended charging times andcharging locations, each separate schedule output by the schedulingservice to the at least one separate battery enabled mobile device via anetwork environment.
 10. The computer system according to claim 9,wherein the program instructions to receive, from the one or morebattery enabled mobile devices, battery usage information for one ormore locations within an area further comprise: program instructions toreceive the battery usage information comprising one or more of abattery life, usage of one or more applications, historical usage for acurrent time period, a predicted time remaining, a current location,wireless network service access, cellular network service access, and atemperature.
 11. The computer system according to claim 9, furthercomprising: program instructions to detect whether each of the one ormore locations within the area is indoor or outdoor dependent uponelevation; in response to detecting at least one outdoor location of theone or more locations, program instructions to access a currenttemperature for each at least one outdoor location in the area from aweather service, the weather service accessible via the wirelessnetwork, the weather service providing a current weather report of thecurrent temperature detected for the at least one outdoor location; inresponse to detecting at least one indoor location of the one or morelocations, program instructions to predict a current temperature foreach at least one indoor location based on one or more previouslyreported temperatures for the at least one indoor location; and programinstructions to store the current temperature with the battery usageinformation.
 12. The computer system according to claim 9, wherein theprogram instructions to identify, from the battery usage information,one or more battery usage impact factors that are location based thatconsume additional battery power for the area further comprise: programinstructions to identify, from the battery usage information, the one ormore battery usage impact factors comprising a temperature for the areaand the amount that the temperature exceeds a temperature threshold forthe area.
 13. The computer system according to claim 9, wherein theprogram instructions to identify, from the battery usage information,one or more battery usage impact factors that are location based thatconsume additional battery power for the area further comprise: programinstructions to identify, from the battery usage information, the one ormore battery usage impact factors comprising a wireless network accessavailability for the area.
 14. The computer system according to claim 9,wherein the program instructions to identify, from the battery usageinformation, one or more battery usage impact factors that are locationbased that consume additional battery power for the area furthercomprise: program instructions to identify, from the battery usageinformation, the one or more battery usage impact factors comprising acellular network access availability for the area and a strength of thecellular network access above a threshold for the area.
 15. The computersystem according to claim 9, wherein the program instructions toidentify, from the battery usage information, one or more battery usageimpact factors that are location based that consume additional batterypower for the area further comprise: program instructions to identify,from the battery usage information, the one or more battery usage impactfactors comprising a particular application access for the area and theamount of access of the application that exceeds a threshold for thearea.
 16. The computer system according to claim 9, further comprising:program instructions to compare the predicted battery consumption factorwith a threshold; in response to the predicted battery consumptionfactor exceeding the threshold: program instructions to detect, from thebattery usage information reported by the one or more battery enabledmobile devices, a selection of one or more users currently present inthe area; and program instructions to output an alert identifying thepredicted battery consumption factor exceeding the threshold for thearea to the separate scheduling service for each of the selection of oneor more users present in the area.
 17. A computer program productcomprises a computer readable storage medium having program instructionsembodied therewith, wherein the computer readable storage medium is nota transitory signal per se, the program instructions executable by acomputer to cause the computer to: receive, by the computer, from one ormore battery enabled mobile devices, battery usage information for oneor more locations within an area; identify, by the computer, from thebattery usage information, one or more battery usage impact factors thatare location based that consume additional battery power for the area;predict, by the computer, based on the one or more battery usage impactfactors for the area a predicted battery consumption factor in the area;filter, by the computer, one or more user schedules to identify aselection of user with one or more events scheduled in the areacurrently or at a future time; analyze, by the computer, for eachseparate schedule of each of the selection of users, the one or moreevents scheduled in the area and the predicted battery consumptionfactor in the area to dynamically adjust one or more recommendedcharging times and charging locations for charging at least one separatebattery enabled mobile device of each of the selection of users; andoutput, by the computer, for each of the selection of users, theadjusted one or more recommended charging times and charging locationsto a separate scheduling service, the scheduling service for updatingeach separate schedule of each of the selection of users with the atleast one event for the one or more recommended charging times andcharging locations, each separate schedule output by the schedulingservice to the at least one separate battery enabled mobile device via anetwork environment.
 18. The computer program product according to claim17, further comprising the program instructions executable by a computerto cause the computer to: receive, by the computer, the battery usageinformation comprising one or more of a battery life, usage of one ormore applications, historical usage for a current time period, apredicted time remaining, a current location, wireless network serviceaccess, cellular network service access, and a temperature.
 19. Thecomputer program product according to claim 17, further comprising theprogram instructions executable by a computer to cause the computer to:detect, by the computer, whether each of the one or more locationswithin the area is indoor or outdoor dependent upon elevation; inresponse to detecting at least one outdoor location of the one or morelocations, access, by the computer, a current temperature for each atleast one outdoor location in the area from a weather service, theweather service accessible via the wireless network, the weather serviceproviding a current weather report of the current temperature detectedfor the at least one outdoor location; in response to detecting at leastone indoor location of the one or more locations, predict, by thecomputer, a current temperature for each at least one indoor locationbased on one or more previously reported temperatures for the at leastone indoor location; and store, by the computer, the current temperaturewith the battery usage information.
 20. The computer program productaccording to claim 17, further comprising the program instructionsexecutable by a computer to cause the computer to: compare, by thecomputer, the predicted battery consumption factor with a threshold; inresponse to the predicted battery consumption factor exceeding thethreshold: detecting, by the computer, from the battery usageinformation reported by the one or more battery enabled mobile devices,a selection of one or more users currently present in the area; andoutputting, by the computer, an alert identifying the predicted batteryconsumption factor exceeding the threshold for the area to the separatescheduling service for each of the selection of one or more userspresent in the area.